Search results for: histopathological images, convolutional neural network, annotation, edge detection, color-to-grayscale - Bridge of Knowledge

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Search results for: histopathological images, convolutional neural network, annotation, edge detection, color-to-grayscale

Search results for: histopathological images, convolutional neural network, annotation, edge detection, color-to-grayscale

  • Pose-Invariant Face Detection by Replacing Deep Neurons with Capsules for Thermal Imagery in Telemedicine

    Abstract— The aim of this work was to examine the potential of thermal imaging as a cost-effective tool for convenient, non- intrusive remote monitoring of elderly people in different possible head orientations, without imposing specific behavior on users, e.g. looking toward the camera. Illumination and pose invariant head tracking is important for many medical applications as it can provide information, e.g. about vital signs, sensory...

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  • Underground Water Level Prediction in Remote Sensing Images Using Improved Hydro Index Value with Ensemble Classifier

    Publication
    • A. Stateczny
    • S. C. Narahari
    • P. Vurubindi
    • N. S. Guptha
    • K. Srinivas

    - Remote Sensing - Year 2023

    The economic sustainability of aquifers across the world relies on accurate and rapid estimates of groundwater storage changes, but this becomes difficult due to the absence of insitu groundwater surveys in most areas. By closing the water balance, hydrologic remote sensing measures offer a possible method for quantifying changes in groundwater storage. However, it is uncertain to what extent remote sensing data can provide an...

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  • Algorytmy wykrywania krawędzi w obrazie

    Wykrywanie krawędzi jest pierwszym etapem w cyfrowym przetwarzaniu obrazów. Operacja ta polega na usunięciu informacji takich jak kolor czy też jasność, a pozostawieniu jedynie krawędzi. Efektem tej operacji jest znaczna redukcja ilości danych do dalszej analizy. Pozwala to na zastosowanie w następnych etapach bardziej złożonych algorytmów rozpoznawania obiektów na podstawie kształtu. W artykule zaprezentowano zastosowanie algorytmów...

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  • Equal Baseline Camera Array—Calibration, Testbed and Applications

    Publication

    - Applied Sciences-Basel - Year 2021

    This paper presents research on 3D scanning by taking advantage of a camera array consisting of up to five adjacent cameras. Such an array makes it possible to make a disparity map with a higher precision than a stereo camera, however it preserves the advantages of a stereo camera such as a possibility to operate in wide range of distances and in highly illuminated areas. In an outdoor environment, the array is a competitive alternative...

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  • TOWARDS EXPLAINABLE CLASSIFIERS USING THE COUNTERFACTUAL APPROACH - GLOBAL EXPLANATIONS FOR DISCOVERING BIAS IN DATA

    The paper proposes summarized attribution-based post-hoc explanations for the detection and identification of bias in data. A global explanation is proposed, and a step-by-step framework on how to detect and test bias is introduced. Since removing unwanted bias is often a complicated and tremendous task, it is automatically inserted, instead. Then, the bias is evaluated with the proposed counterfactual approach. The obtained results...

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  • Tool Wear Monitoring Using Improved Dragonfly Optimization Algorithm and Deep Belief Network

    Publication
    • L. Gertrude David
    • R. Kumar Patra
    • P. Falkowski-Gilski
    • P. Bidare Divakarachari
    • L. J. Antony Marcilin

    - Applied Sciences-Basel - Year 2022

    In recent decades, tool wear monitoring has played a crucial role in the improvement of industrial production quality and efficiency. In the machining process, it is important to predict both tool cost and life, and to reduce the equipment downtime. The conventional methods need enormous quantities of human resources and expert skills to achieve precise tool wear information. To automatically identify the tool wear types, deep...

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  • Machine Learning Applied to Aspirated and Non-Aspirated Allophone Classification—An Approach Based on Audio "Fingerprinting"

    The purpose of this study is to involve both Convolutional Neural Networks and a typical learning algorithm in the allophone classification process. A list of words including aspirated and non-aspirated allophones pronounced by native and non-native English speakers is recorded and then edited and analyzed. Allophones extracted from English speakers’ recordings are presented in the form of two-dimensional spectrogram images and...

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  • Intelligent Autonomous Robot Supporting Small Pets in Domestic Environment

    In this contribution, we present preliminary results of the student project aimed at the development of an intelligent autonomous robot supporting small pets in a domestic environment. The main task of this robot is to protect a freely moving small pets against accidental stepping on them by home residents. For this purpose, we have developed the mobile robot which follows a pet and makes an alarm signal when a human is approaching....

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  • CNN Architectures for Human Pose Estimation from a Very Low Resolution Depth Image

    Publication

    - Year 2018

    The paper is dedicated to proposing and evaluating a number of convolutional neural network architectures for calculating a multiple regression on 3D coordinates of human body joints tracked in a single low resolution depth image. The main challenge was to obtain a high precision in case of a noisy and coarse scan of the body, as observed by a depth sensor from a large distance. The regression network was expected to reason about...

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  • Neural Network Subgraphs Correlation with Trained Model Accuracy

    Publication

    - Year 2020

    Neural Architecture Search (NAS) is a computationally demanding process of finding optimal neural network architecture for a given task. Conceptually, NAS comprises applying a search strategy on a predefined search space accompanied by a performance evaluation method. The design of search space alone is expected to substantially impact NAS efficiency. We consider neural networks as graphs and find a correlation between the presence...

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  • Deep neural network architecture search using network morphism

    Publication

    The paper presents the results of the research on neural architecture search (NAS) algorithm. We utilized the hill climbing algorithm to search for well-performing structures of deep convolutional neural network. Moreover, we used the function preserving transformations which enabled the effective operation of the algorithm in a short period of time. The network obtained with the advantage of NAS was validated on skin lesion classification...

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  • Improving Accuracy of Contactless Respiratory Rate Estimation by Enhancing Thermal Sequences with Deep Neural Networks

    Estimation of vital signs using image processing techniques have already been proved to have a potential for supporting remote medical diagnostics and replacing traditional measurements that usually require special hardware and electrodes placed on a body. In this paper, we further extend studies on contactless Respiratory Rate (RR) estimation from extremely low resolution thermal imagery by enhancing acquired sequences using Deep...

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  • DEEP LEARNING BASED ON X-RAY IMAGING IMPROVES COXARTHROSIS DETECTION

    Publication
    • M. Maj
    • J. Borkowski
    • J. Wasilewski
    • S. Hrynowiecka
    • A. Kastrau
    • M. Liksza
    • P. Jasik
    • M. Treder

    - Year 2022

    Objective: The purpose of the study was to create an Artificial Neural Network (ANN) based on X-ray images of the pelvis, as an additional tool to automate and improve the diagnosis of coxarthrosis. The research is focused on joint space narrowing, which is a radiological symptom showing the thinning of the articular cartilage layer, which is translucent to X-rays. It is the first and the most important of the radiological signs...

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  • Potential and Use of the Googlenet Ann for the Purposes of Inland Water Ships Classification

    Publication

    - Polish Maritime Research - Year 2020

    This article presents an analysis of the possibilities of using the pre-degraded GoogLeNet artificial neural network to classify inland vessels. Inland water authorities monitor the intensity of the vessels via CCTV. Such classification seems to be an improvement in their statutory tasks. The automatic classification of the inland vessels from video recording is a one of the main objectives of the Automatic Ship Recognition and...

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  • Selected Technical Issues of Deep Neural Networks for Image Classification Purposes

    In recent years, deep learning and especially Deep Neural Networks (DNN) have obtained amazing performance on a variety of problems, in particular in classification or pattern recognition. Among many kinds of DNNs, the Convolutional Neural Networks (CNN) are most commonly used. However, due to their complexity, there are many problems related but not limited to optimizing network parameters, avoiding overfitting and ensuring good...

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  • Computer-Aided Diagnosis of COVID-19 from Chest X-ray Images Using Hybrid-Features and Random Forest Classifier

    Publication

    - Healthcare - Year 2023

    In recent years, a lot of attention has been paid to using radiology imaging to automatically find COVID-19. (1) Background: There are now a number of computer-aided diagnostic schemes that help radiologists and doctors perform diagnostic COVID-19 tests quickly, accurately, and consistently. (2) Methods: Using chest X-ray images, this study proposed a cutting-edge scheme for the automatic recognition of COVID-19 and pneumonia....

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  • Deep neural networks approach to skin lesions classification — A comparative analysis

    The paper presents the results of research on the use of Deep Neural Networks (DNN) for automatic classification of the skin lesions. The authors have focused on the most effective kind of DNNs for image processing, namely Convolutional Neural Networks (CNN). In particular, three kinds of CNN were analyzed: VGG19, Residual Networks (ResNet) and the hybrid of VGG19 CNN with the Support Vector Machine (SVM). The research was carried...

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  • A survey of neural networks usage for intrusion detection systems

    In recent years, advancements in the field of the artificial intelligence (AI) gained a huge momentum due to the worldwide appliance of this technology by the industry. One of the crucial areas of AI are neural networks (NN), which enable commer‐ cial utilization of functionalities previously not accessible by usage of computers. Intrusion detection system (IDS) presents one of the domains in which neural networks are widely tested...

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  • Hierarchical 2-step neural-based LEGO bricks detection and labeling

    Publication

    - Year 2021

    LEGO bricks are extremely popular and allow the creation of almost any type of construction due to multiple shapes available. LEGO building requires however proper brick arrangement, usually done by shape. With over 3700 different LEGO parts this can be troublesome. In this paper, we propose a solution for object detection and annotation on images. The solution is designed as a part of an automated LEGO bricks arrangement. The...

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  • Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm

    Publication
    • K. Thiagarajan
    • M. Manapakkam Anandan
    • A. Stateczny
    • P. Bidare Divakarachari
    • H. Kivudujogappa Lingappa

    - Remote Sensing - Year 2021

    Satellite image classification is widely used in various real-time applications, such as the military, geospatial surveys, surveillance and environmental monitoring. Therefore, the effective classification of satellite images is required to improve classification accuracy. In this paper, the combination of Hierarchical Framework and Ensemble Learning (HFEL) and optimal feature selection is proposed for the precise identification...

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  • 1D convolutional context-aware architectures for acoustic sensing and recognition of passing vehicle type

    Publication

    A network architecture that may be employed to sensing and recognition of a type of vehicle on the basis of audio recordings made in the proximity of a road is proposed in the paper. The analyzed road traffic consists of both passenger cars and heavier vehicles. Excerpts from recordings that do not contain vehicles passing sounds are also taken into account and marked as ones containing silence....

  • Neural Architecture Search for Skin Lesion Classification

    Deep neural networks have achieved great success in many domains. However, successful deployment of such systems is determined by proper manual selection of the neural architecture. This is a tedious and time-consuming process that requires expert knowledge. Different tasks need very different architectures to obtain satisfactory results. The group of methods called the neural architecture search (NAS) helps to find effective architecture...

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  • LDRAW based renders of LEGO bricks moving on a conveyor belt

    Open Research Data
    open access
    • T. Boiński
    • K. Zawora
    • S. Zaraziński
    • B. Śledź
    • B. Łobacz
    - series: LEGO

    The set contains renders of 5237 LEGO bricks moving on a white conveyor belt. The images were prepared for training neural network for recognition of LEGO bricks. For each brick starting position, alignment and color was selected (simulating the brick falling down on the conveyour belt) and than 10 images was created while the brick was moved across...

  • Tagged images with LEGO bricks - Bricks Sloped

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Bricks Sloped category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Tiles

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Tiles category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Windscreens and Fuselage

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Windscreens and Fuselage category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Bricks Special

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Bricks Special category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Bricks

    Open Research Data
    version 1.3 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Bricks category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Technic Beams

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Technic Beams category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Technic Pins

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Technic Pins category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Minifig Accessories

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Minifig Accessories category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Plates

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Plates category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Technic Panels

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Technic Panels category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Pneumatics

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Pneumatics category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Technic Bricks

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Technic Bricks category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Technic Gears

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Technic Gears category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Panels

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Panels category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Technic Bushes

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Technic Bushes category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Transportation - Sea and Air

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Transportation - Sea and Air category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Bionicle Hero Factory and Constraction

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Bionicle Hero Factory and Constraction category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Tiles Round and Curved

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Tiles Round and Curved category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Hinges Arms and Turntables

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Hinges Arms and Turntables category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Plates Angled

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Plates Angled category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Windows and Doors

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Windows and Doors category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Plates Special

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Plates Special category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Technic Connectors

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Technic Connectors category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Technic Beams Special

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Technic Beams Special category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Bricks Curved

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Bricks Curved category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Tiles Special

    Open Research Data
    version 1.2 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Tiles Special category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.

  • Tagged images with LEGO bricks - Transportation - Land

    Open Research Data
    version 1.1 open access - series: LEGO - partial

    The set contains images of LEGO bricks (from Transportation - Land category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.