Search results for: adaboost classifier
-
Severe cervical dysplasia, not elsewhere classified - Female, 63 - Tissue image [6210730043068591]
Open Research DataThis is the histopathological image of CERVIX UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Severe cervical dysplasia, not elsewhere classified - Female, 21 - Tissue image [11300630022662271]
Open Research DataThis is the histopathological image of CERVIX UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Severe cervical dysplasia, not elsewhere classified - Female, 63 - Tissue image [6210730043061761]
Open Research DataThis is the histopathological image of CERVIX UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Fatty (change of) liver, not elsewhere classified - Female, 54 - Tissue image [4140730008822021]
Open Research DataThis is the histopathological image of LIVER AND INTRAHEPATIC BILE DUCTS tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Severe cervical dysplasia, not elsewhere classified - Female, 21 - Tissue image [11300630022667191]
Open Research DataThis is the histopathological image of CERVIX UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Severe cervical dysplasia, not elsewhere classified - Female, 21 - Tissue image [11300630022663621]
Open Research DataThis is the histopathological image of CERVIX UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Severe cervical dysplasia, not elsewhere classified - Female, 44 - Tissue image [4090730013125071]
Open Research DataThis is the histopathological image of CERVIX UTERI tissue sample obtained in University of Warmia and Mazury in Olsztyn and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
-
Comparison of the effectiveness of automatic EEG signal class separation algorithms
PublicationIn this paper, an algorithm for automatic brain activity class identification of EEG (electroencephalographic) signals is presented. EEG signals are gathered from seventeen subjects performing one of the three tasks: resting, watching a music video and playing a simple logic game. The methodology applied consists of several steps, namely: signal acquisition, signal processing utilizing z-score normalization, parametrization and...
-
Papillomavirus as the cause of diseases classified to other chapters - Female, 33 - Tissue image [9160729581057621]
Open Research DataThis is the histopathological image of CERVIX UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Papillomavirus as the cause of diseases classified to other chapters - Female, 33 - Tissue image [9160729581052951]
Open Research DataThis is the histopathological image of CERVIX UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Other heart disorders in diseases classified elsewhere - Male, 4 - Tissue image [1203063001763871]
Open Research DataThis is the histopathological image of HEART, MEDIASTINUM, AND PLEURA tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Papillomavirus as the cause of diseases classified to other chapters - Female, 33 - Tissue image [3300730069477581]
Open Research DataThis is the histopathological image of CERVIX UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Papillomavirus as the cause of diseases classified to other chapters - Female, 28 - Cell image [4130730006611991]
Open Research DataThis is the histopathological image of CERVIX UTERI cell sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Other heart disorders in diseases classified elsewhere - Male, 4 - Tissue image [12030630017637871]
Open Research DataThis is the histopathological image of HEART, MEDIASTINUM, AND PLEURA tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Papillomavirus as the cause of diseases classified to other chapters - Female, 33 - Tissue image [9160729581052421]
Open Research DataThis is the histopathological image of CERVIX UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Papillomavirus as the cause of diseases classified to other chapters - Female, 33 - Tissue image [9160729581059951]
Open Research DataThis is the histopathological image of CERVIX UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Other heart disorders in diseases classified elsewhere - Male, 4 - Tissue image [12030630017632161]
Open Research DataThis is the histopathological image of HEART, MEDIASTINUM, AND PLEURA tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Papillomavirus as the cause of diseases classified to other chapters - Female, 33 - Tissue image [9160729581053111]
Open Research DataThis is the histopathological image of CERVIX UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Diagnostyka analogowych filtrów wielosekcyjnych oparta na klasyfikato-rach neuronowych z dwucentrowymi funkcjami bazowymi
PublicationPrzedmiotem artykułu jest zastosowanie klasyfikatora z dwucentrowymi funkcjami bazowymi do lokalizacji uszkodzeń w wielosekcyjnych torach analogowych elektronicznych systemów wbudowanych sterowanych mikrokontrolerem. Przedstawiono szczegóły procedury pomiarowej oraz metody detekcji i lokalizacji uszkodzeń toru analogowego z wykorzysta-niem klasyfikatora DB zaimplementowanego w postaci algorytmicznej w kodzie programu mikrokontrolera....
-
When Neural Networks Meet Decisional DNA: A Promising New Perspective for Knowledge Representation and Sharing
PublicationABSTRACT In this article, we introduce a novel concept combining neural network technology and Decisional DNA for knowledge representation and sharing. Instead of using traditional machine learning and knowledge discovery methods, this approach explores the way of knowledge extraction through deep learning processes based on a domain’s past decisional events captured by Decisional DNA. We compare our approach with kNN (k-nearest...
-
Computer Networks EN 2022
e-Learning CoursesThe student becomes familiar with the network layered logical architectures, classifies the basic problems of network communication and identifies and analyzes selected protocols and mechanisms of LAN and WAN (IP) networks.
-
Computer Networks EN 2023
e-Learning CoursesThe student becomes familiar with the network layered logical architectures, classifies the basic problems of network communication and identifies and analyzes selected protocols and mechanisms of LAN and WAN (IP) networks.
-
Selection of an artificial pre-training neural network for the classification of inland vessels based on their images
PublicationArtificial neural networks (ANN) are the most commonly used algorithms for image classification problems. An image classifier takes an image or video as input and classifies it into one of the possible categories that it was trained to identify. They are applied in various areas such as security, defense, healthcare, biology, forensics, communication, etc. There is no need to create one’s own ANN because there are several pre-trained...
-
Viral agents as the cause of diseases classified to other chapters - Female, 29 - Tissue image [9220729551203921]
Open Research DataThis is the histopathological image of CERVIX UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Viral agents as the cause of diseases classified to other chapters - Female, 29 - Tissue image [9220729551203171]
Open Research DataThis is the histopathological image of CERVIX UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Vulvovaginal ulceration and inflammation in other diseases classified elsewhere - Female, 42 - Cell image [6280730027966421]
Open Research DataThis is the histopathological image of CERVIX UTERI cell sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Foreign body granuloma of soft tissue, not elsewhere classified - Male, 55 - Tissue image [6130730026849561]
Open Research DataThis is the histopathological image of OTHER AND UNSPECIFIED PARTS OF MOUTH tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Vulvovaginal ulceration and inflammation in other diseases classified elsewhere - Female, 28 - Cell image [4110730008007941]
Open Research DataThis is the histopathological image of CERVIX UTERI cell sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Viral agents as the cause of diseases classified to other chapters - Female, 29 - Tissue image [9220729551207901]
Open Research DataThis is the histopathological image of CERVIX UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Empirical analysis of tree-based classification models for customer churn prediction
PublicationCustomer churn is a vital and reoccurring problem facing most business industries, particularly the telecommunications industry. Considering the fierce competition among telecommunications firms and the high expenses of attracting and gaining new subscribers, keeping existing loyal subscribers becomes crucial. Early prediction of disgruntled subscribers can assist telecommunications firms in identifying the reasons for churn and...
-
A Data Driven Model for Predicting RNA-Protein Interactions based on Gradient Boosting Machine
PublicationRNA protein interactions (RPI) play a pivotal role in the regulation of various biological processes. Experimental validation of RPI has been time-consuming, paving the way for computational prediction methods. The major limiting factor of these methods has been the accuracy and confidence of the predictions, and our in-house experiments show that they fail to accurately predict RPI involving short RNA sequences such as TERRA RNA....
-
New Two-center Ellipsoidal Basis Function Neural Network for Fault Diagnosis of Analog Electronic Circuits
PublicationIn the paper a new fault diagnosis-oriented neural network and a diagnostic method for localization of parametric faults in Analog Electronic Circuits (AECs) with tolerances is presented. The method belongs to the class of dictionary Simulation Before Test (SBT) methods. It utilizes dictionary fault signatures as a family of identification curves dispersed around nominal positions by component tolerances of the Circuit Under Test...
-
Mine counter vehicles for Baltic navy. W: [CD-ROM] Conference proceedings. UDT EUROPE 2002. Undersea Defence Technology Conference and Exhibition. La Spezia, Italy, 18-20 June 2002. Classified Conference, La Spezia, Italy, 21 June 2002 [B.m.w.]**2002 [6 s. 3 rys.]. Pojazdy przeciwminowe dla marynarki dzialającej na Bałtyku.
PublicationW opracowaniu omówiono przeciwminowe systemy opracowane przez PolitechnikęGdańską dla potrzeb Marynarki Wojennej RP. Przedstawiono podstawowe wymaga-nia rozwiązań konstrukcyjnych i zasady użycia.
-
Renal tubulo-interstitial disorders in other diseases classified elsewhere - Male, 67 - Tissue image [1206063001762681]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Renal tubulo-interstitial disorders in other diseases classified elsewhere - Male, 67 - Tissue image [12060630017628641]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Vaginitis, vulvitis and vulvovaginitis in infectious and parasitic diseases classified elsewhere - Female, 64 - Cell image [4110730007991341]
Open Research DataThis is the histopathological image of CERVIX UTERI cell sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Detection of anomalies in bee colony using transitioning state and contrastive autoencoders
PublicationHoneybees plays vital role for the environmental sustainability and overall agricultural economy. Assisting bee colonies within their proper functioning brings the attention of researchers around the world. Electronics systems and machine learning algorithms are being developed for classifying specific undesirable bee behaviors in order to alert about upcoming substantial losses. However, classifiers could be impaired when used...
-
Verification of the Parameterization Methods in the Context of Automatic Recognition of Sounds Related to Danger
PublicationW artykule opisano aplikację, która automatycznie wykrywa zdarzenia dźwiękowe takie jak: rozbita szyba, wystrzał, wybuch i krzyk. Opisany system składa się z bloku parametryzacji i klasyfikatora. W artykule dokonano porównania parametrów dedykowanych dla tego zastosowania oraz standardowych deskryptorów MPEG-7. Porównano też dwa klasyfikatory: Jeden oparty o Percetron (sieci neuronowe) i drugi oparty o Maszynę wektorów wspierających....
-
Modular machine learning system for training object detection algorithms on a supercomputer
PublicationW pracy zaprezentowano architekturę systemu służącego do tworzenia algorytmów wykorzystujących metodę AdaBoost i służących do wykrywania obiektów (np. twarzy) na obrazach. System został podzielony na wyspecjalizowane moduły w celu umożliwienia łatwej rozbudowy i efektywnego zrównoleglenia implementacji przeznaczonej dla superkomputera. Na przykład, system może być rozszerzony o nowe cechy i algorytmy ich ekstrakcji bez konieczności...
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007852731]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007854311]
Open Research DataThis is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007852471]
Open Research DataThis is the histopathological image of ADRENAL GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007854321]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007856961]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007856731]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007851791]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007858461]
Open Research DataThis is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007857351]
Open Research DataThis is the histopathological image of HEART, MEDIASTINUM, AND PLEURA tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007859341]
Open Research DataThis is the histopathological image of SMALL INTESTINE tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007855321]
Open Research DataThis is the histopathological image of STOMACH tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.