Wyszukiwarka
Filtry
wszystkich: 30
Wyniki wyszukiwania dla: ROI
-
Foliar Application of Entomopathogenic Nematodes against Cereal Leaf Beetle Oulema melanopus L. (Coleoptera: Chrysomelidae) on Wheat
Publikacja -
FTY720 Attenuates Infection-Induced Enhancement of Aβ Accumulation in APP/PS1 Mice by Modulating Astrocytic Activation
Publikacja -
Laboratory Bioassay of Selected Entomopathogenic Nematodes as Mortality Factors of Oulema melanopus (Coleoptera: Chrysomelidae)
Publikacja -
Development of a simulation model of the activities of a transport and forwarding enterprise in the organization of international road cargo transportation
PublikacjaThe object of this study is the process of planning the work of a transport and forwarding company when serving different categories of customers who need organizational support for the delivery of goods by road transport in international traffic. The solved problem is due to the need to devise recommendations for organizing the work of forwarders when interacting with customers of transport and forwarding services that export...
-
Lung CD4 Tissue-Resident Memory T Cells Mediate Adaptive Immunity Induced by Previous Infection of Mice with Bordetella pertussis
Publikacja -
Chiral Diketopyrrolopyrrole-Helicene Polymer With Efficient Red Circularly Polarized Luminescence
Publikacja -
Suppressive effects of the obese tumor microenvironment on CD8 T cell infiltration and effector function
Publikacja -
Distinct clinical phenotypes in paediatric cancer patients with sepsis are associated with different outcomes—an international multicentre retrospective study
Publikacja -
Wydobywanie informacji diagnostycznej w obrazowaniu mózgu techniką MRI przy wykorzystaniu identyfikacji parametrycznej
PublikacjaDane MRI wykorzystano w pracy do oceny perfuzji tkanek mózgowych. Obrazowanie perfuzji z wykorzystaniem pomiarów MRI jest szeroko stosowane w praktyce klinicznej do diagnozowania guzów, demencji, choroby Alzheimera i innych. W modelowania danych MRI wykorzystano parametryczny model trzykompartmentowy. Parametry modelu estymowane są na podstawie danych eksperymentalnych: sygnału mierzonego w tętnicy mózgowej oraz sygnału mierzonego...
-
Weighted Clustering for Bees Detection on Video Images
PublikacjaThis work describes a bee detection system to monitor bee colony conditions. The detection process on video images has been divided into 3 stages: determining the regions of interest (ROI) for a given frame, scanning the frame in ROI areas using the DNN-CNN classifier, in order to obtain a confidence of bee occurrence in each window in any position and any scale, and form one detection window from a cloud of windows provided by...
-
Detection of Alzheimer's disease using Otsu thresholding with tunicate swarm algorithm and deep belief network
PublikacjaIntroduction: Alzheimer’s Disease (AD) is a degenerative brain disorder characterized by cognitive and memory dysfunctions. The early detection of AD is necessary to reduce the mortality rate through slowing down its progression. The prevention and detection of AD is the emerging research topic for many researchers. The structural Magnetic Resonance Imaging (sMRI) is an extensively used imaging technique in detection of AD, because...
-
Reversible Video Stream Anonymization for Video Surveillance Systems Based on Pixels Relocation and Watermarking
PublikacjaA method of reversible video image regions of interest anonymization for applications in video surveillance systems is described. A short introduction to theanonymization procedures is presented together with the explanation of its relation to visual surveillance. A short review of state of the art of sensitive data protection in media is included. An approach to reversible Region of Interest (ROI) hiding in video is presented,...
-
Intracranial hemorrhage detection in 3D computed tomography images using a bi-directional long short-term memory network-based modified genetic algorithm
PublikacjaIntroduction: Intracranial hemorrhage detection in 3D Computed Tomography (CT) brain images has gained more attention in the research community. The major issue to deal with the 3D CT brain images is scarce and hard to obtain the labelled data with better recognition results. Methods: To overcome the aforementioned problem, a new model has been implemented in this research manuscript. After acquiring the images from the Radiological...
-
Ocena przydatności filtracji Kalmana do poprawy właściwości szumowych danych uzyskiwanych w badaniach DSC-MRI mózgu
PublikacjaW pracy pokazano jak na poprawę jakość danych z badania DSC-MRI wpływa filtracja stochastyczna Kalmana. Do przeprowadzenia filtracji stochastycznej potrzebny jest opis systemu w kategoriach zmiennych stanu. Warunek ten spełnia użyty model trójkompartmentowy. Filtracji poddane są próbki, które reprezentują pierwszy przepływ znacznika przez ROI. Jakość filtracji Kalmana silnie zależy od ilości próbek, z związku z tym mało liczne...
-
Bees Detection on Images: Study of Different Color Models for Neural Networks
PublikacjaThis paper presents an approach to bee detection in video streams using a neural network classifier. We describe the motivation for our research and the methodology of data acquisition. The main contribution to this work is a comparison of different color models used as an input format for a feedforward convolutional architecture applied to bee detection. The detection process has is based on a neural binary classifier that classifies...
-
Assessment of particular abdominal aorta section extraction from contrast-enhanced computed tomography angiography
PublikacjaThe aim of this work is to improve the accuracy of extraction of a particular abdominal aorta section and to reduce the distortion in three-dimensional Computed Tomography Angiography (CTA) images. Imaging modality and quality plays crucial role in the medical diagnostic process, thus ensuring high quality of images is essential at every stage of acquisition and processing.Noise is defined as a disturbance of the image quality...
-
Towards bees detection on images: study of different color models for neural networks
PublikacjaThis paper presents an approach to bee detection in videostreams using a neural network classifier. We describe the motivationfor our research and the methodology of data acquisition. The maincontribution to this work is a comparison of different color models usedas an input format for a feedforward convolutional architecture appliedto bee detection. The detection process has is based on a neural...
-
A Mammography Data Management Application for Federated Learning
PublikacjaThis study aimed to develop and assess an application designed to enhance the management of a local client database consisting of mammographic images with a focus on ensuring that images are suitably and uniformly prepared for federated learning applications. The application supports a comprehensive approach, starting with a versatile image-loading function that supports DICOM files from various medical imaging devices and settings....
-
Diversity and ethics in trauma and acute care surgery teams: results from an international survey
Publikacja -
Team dynamics in emergency surgery teams: results from a first international survey
Publikacja -
Surgeons’ practice and preferences for the anal fissure treatment: results from an international survey
Publikacja -
Sekwencyjne i równoległe algorytmy porównywania obrazów dla potrzeb reko- mendacji endoskopowej.**2004, 98 s. rys. tab. w rozdz. bibliogr. 106 poz. Rozprawa doktorska: /06.04.2004/ Wydz. ETI P. Gdań. Promotor: prof. zw. dr hab. inż. H. Krawczyk.
Publikacja.
-
Correction: Surgeons’ perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey
Publikacja -
Time for a paradigm shift in shared decision-making in trauma and emergency surgery? Results from an international survey
Publikacja -
Surgeons’ perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey
Publikacja -
The CMS experiment at the CERN LHC
Publikacja -
Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC
Publikacja -
A New Boson with a Mass of 125 GeV Observed with the CMS Experiment at the Large Hadron Collider
Publikacja -
Global variation in anastomosis and end colostomy formation following left‐sided colorectal resection
Publikacja -
Elective surgery system strengthening: development, measurement, and validation of the surgical preparedness index across 1632 hospitals in 119 countries
Publikacja