Zaneta Swiderska-Chadaj
Title
Cited by
Cited by
Year
Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides
A Gertych, Z Swiderska-Chadaj, Z Ma, N Ing, T Markiewicz, S Cierniak, ...
Scientific reports 9 (1), 1-12, 2019
532019
Comparison of the manual, semiautomatic, and automatic selection and leveling of hot spots in whole slide images for Ki-67 quantification in meningiomas
Z Swiderska, A Korzynska, T Markiewicz, M Lorent, J Zak, A Wesolowska, ...
Analytical cellular pathology 2015, 2015
362015
Learning to detect lymphocytes in immunohistochemistry with deep learning
Z Swiderska-Chadaj, H Pinckaers, M van Rijthoven, M Balkenhol, ...
Medical image analysis 58, 101547, 2019
192019
MIAP–Web-based platform for the computer analysis of microscopic images to support the pathological diagnosis
T Markiewicz, A Korzynska, A Kowalski, Z Swiderska-Chadaj, P Murawski, ...
Biocybernetics and Biomedical Engineering 36 (4), 597-609, 2016
162016
Content-based analysis of Ki-67 stained meningioma specimens for automatic hot-spot selection
Z Swiderska-Chadaj, T Markiewicz, B Grala, M Lorent
Diagnostic pathology 11 (1), 1-12, 2016
112016
Deep learning for damaged tissue detection and segmentation in Ki-67 brain tumor specimens based on the U-net model
Z Swiderska-Chadaj, T Markiewicz, J Gallego, G Bueno, B Grala, ...
Bulletin of the Polish Academy of Sciences. Technical Sciences 66 (6), 2018
92018
Survey: interpolation methods for whole slide image processing
L Roszkowiak, A Korzynska, J Zak, D Pijanowska, ...
Journal of microscopy 265 (2), 148-158, 2017
82017
Hourglass shapes in rank grey-level hit-or-miss transform for membrane segmentation in HER2/neu images
M Wdowiak, T Markiewicz, S Osowski, Z Swiderska, J Patera, ...
International Symposium on Mathematical Morphology and Its Applications to …, 2015
82015
Convolutional neural networks for lymphocyte detection in immunohistochemically stained whole-slide images
Z Swiderska-Chadaj, H Pinckaers, M van Rijthoven, M Balkenhol, ...
62018
Hot-spot selection and evaluation methods for whole slice images of meningiomas and oligodendrogliomas
Z Swiderska, T Markiewicz, B Grala, J Slodkowska
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
62015
Semantic segmentation of colon glands in inflammatory bowel disease biopsies
Z Ma, Z Swiderska-Chadaj, N Ing, H Salemi, D McGovern, B Knudsen, ...
International Conference on Information Technologies in Biomedicine, 379-392, 2018
42018
Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer
Z Swiderska-Chadaj, T de Bel, L Blanchet, A Baidoshvili, D Vossen, ...
Scientific RepoRtS 10 (1), 1-14, 2020
32020
You only look on lymphocytes once
M van Rijthoven, Z Swiderska-Chadaj, K Seeliger, J van der Laak, ...
32018
Contextual classification of tumor growth patterns in digital histology slides
Z Swiderska-Chadaj, Z Ma, N Ing, T Markiewicz, M Lorent, S Cierniak, ...
International Conference on Information Technologies in Biomedicine, 13-25, 2019
22019
A deep learning pipeline to delineate proliferative areas of intracranial tumors in digital slides
Z Swiderska-Chadaj, T Markiewicz, B Grala, M Lorent, A Gertych
Annual Conference on Medical Image Understanding and Analysis, 448-458, 2017
22017
Automatic method for vessel detection in virtual slide images of placental villi
Ż Swiderska-Chadaj, T Markiewicz, R Koktysz, W Kozlowski
Recent Global Research and Education: Technological Challenges, 175-181, 2017
22017
Texture analysis to trophoblast and villi detection in placenta histological images
Z Swiderska-Chadaj, T Markiewicz, R Koktysz, W Kozlowski
Conference of Information Technologies in Biomedicine, 183-192, 2016
22016
Texture and mathematical morphology for hot-spot detection in whole slide images of meningiomas and oligodendrogliomas
Z Swiderska, T Markiewicz, B Grala, W Kozlowski
International Conference on Computer Analysis of Images and Patterns, 1-12, 2015
22015
A deep learning approach to assess the predominant tumor growth pattern in whole-slide images of lung adenocarcinoma
Z Swiderska-Chadaj, K Nurzynska, B Grala, K Grunberg, ...
Medical Imaging 2020: Digital Pathology 11320, 113200D, 2020
12020
Image processing methods for the structural detection and gradation of placental villi
Z Swiderska-Chadaj, T Markiewicz, R Koktysz, S Cierniak
Computers in biology and medicine 100, 259-269, 2018
12018
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