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Zaneta Swiderska-Chadaj

Showing results (1-10 of 14) with videos related to

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Diagnostic Pathology|October 9, 2016
Content-based analysis of Ki-67 stained meningioma specimens for automatic hot-spot selectionZaneta Swiderska-Chadaj, Tomasz Markiewicz, Bartlomiej Grala, et al.
Heliyon|March 11, 2024
Improving classification accuracy of fine-tuned CNN models: Impact of hyperparameter optimizationMikolaj Wojciuk, Zaneta Swiderska-Chadaj, Krzysztof Siwek, et al.
Computers in Biology and Medicine|August 12, 2017
Image processing methods for the structural detection and gradation of placental villiZaneta Swiderska-Chadaj, Tomasz Markiewicz, Robert Koktysz, et al.
Virchows Archiv : an International Journal of Pathology|September 26, 2020
Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphomaZaneta Swiderska-Chadaj, Konnie M Hebeda, Michiel van den Brand, et al.
Computer Methods and Programs in Biomedicine|April 6, 2025
Efficient annotation bootstrapping for cell identification in follicular lymphomaAdam Krawczyk, Aleksandra Osowska-Kurczab, Sławomir Pakuło, et al.
Scientific Reports|April 7, 2023
Localization of spleen and kidney organs from CT scans based on classification of slices in rotational viewsTomasz Les, Tomasz Markiewicz, Miroslaw Dziekiewicz, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 6, 2021
A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissuesJaime Gallego, Zaneta Swiderska-Chadaj, Tomasz Markiewicz, et al.
Scientific Reports|September 3, 2020
Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancerZaneta Swiderska-Chadaj, Thomas de Bel, Lionel Blanchet, et al.
Scientific Reports|February 8, 2019
Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slidesArkadiusz Gertych, Zaneta Swiderska-Chadaj, Zhaoxuan Ma, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|June 29, 2022
Multireader image quality evaluation of dynamic myocardial computed tomography perfusion imaging with a novel four-dimensional noise reduction filterOlga Sliwicka, Zaneta Swiderska-Chadaj, Miranda Snoeren, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Diagnostic Pathology|October 9, 2016
Content-based analysis of Ki-67 stained meningioma specimens for automatic hot-spot selectionZaneta Swiderska-Chadaj, Tomasz Markiewicz, Bartlomiej Grala, et al.
Heliyon|March 11, 2024
Improving classification accuracy of fine-tuned CNN models: Impact of hyperparameter optimizationMikolaj Wojciuk, Zaneta Swiderska-Chadaj, Krzysztof Siwek, et al.
Computers in Biology and Medicine|August 12, 2017
Image processing methods for the structural detection and gradation of placental villiZaneta Swiderska-Chadaj, Tomasz Markiewicz, Robert Koktysz, et al.
Virchows Archiv : an International Journal of Pathology|September 26, 2020
Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphomaZaneta Swiderska-Chadaj, Konnie M Hebeda, Michiel van den Brand, et al.
Computer Methods and Programs in Biomedicine|April 6, 2025
Efficient annotation bootstrapping for cell identification in follicular lymphomaAdam Krawczyk, Aleksandra Osowska-Kurczab, Sławomir Pakuło, et al.
Scientific Reports|April 7, 2023
Localization of spleen and kidney organs from CT scans based on classification of slices in rotational viewsTomasz Les, Tomasz Markiewicz, Miroslaw Dziekiewicz, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 6, 2021
A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissuesJaime Gallego, Zaneta Swiderska-Chadaj, Tomasz Markiewicz, et al.
Scientific Reports|September 3, 2020
Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancerZaneta Swiderska-Chadaj, Thomas de Bel, Lionel Blanchet, et al.
Scientific Reports|February 8, 2019
Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slidesArkadiusz Gertych, Zaneta Swiderska-Chadaj, Zhaoxuan Ma, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|June 29, 2022
Multireader image quality evaluation of dynamic myocardial computed tomography perfusion imaging with a novel four-dimensional noise reduction filterOlga Sliwicka, Zaneta Swiderska-Chadaj, Miranda Snoeren, et al.
Pageof 2