Follow
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, T Markiewicz, S Cierniak, H Salemi, ...
Scientific reports 9 (1), 1-12, 2019
1152019
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
692019
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
422015
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
242020
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, 849-856-849-856, 2018
192018
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
172016
Survey: interpolation methods for whole slide image processing
L Roszkowiak, A Korzynska, J Zak, D Pijanowska, ...
Journal of microscopy 265 (2), 148-158, 2017
122017
You only look on lymphocytes once
M van Rijthoven, Z Swiderska-Chadaj, K Seeliger, J van der Laak, ...
112018
Convolutional neural networks for lymphocyte detection in immunohistochemically stained whole-slide images
Z Swiderska-Chadaj, H Pinckaers, M van Rijthoven, M Balkenhol, ...
112018
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
102016
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
102015
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
82015
Semantic segmentation of colon glands in inflammatory bowel disease biopsies
Z Ma, Z Swiderska-Chadaj, H Salemi, D McGovern, B Knudsen, A Gertych
International Conference on Information Technologies in Biomedicine, 379-392, 2018
72018
A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues
J Gallego, Z Swiderska-Chadaj, T Markiewicz, M Yamashita, ...
Computerized Medical Imaging and Graphics 89, 101865, 2021
62021
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
62015
Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides. Sci Rep. 2019; 9: 1483
A Gertych, Z Swiderska-Chadaj, Z Ma, N Ing, T Markiewicz, S Cierniak, ...
5
Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma
Z Swiderska-Chadaj, KM Hebeda, M van den Brand, G Litjens
Virchows Archiv 479 (3), 617-621, 2021
42021
Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning
M Hermsen, V Volk, JH Bräsen, DJ Geijs, W Gwinner, J Kers, J Linmans, ...
Laboratory Investigation 101 (8), 970-982, 2021
42021
Detection of Ki67 hot-spots of invasive breast cancer based on convolutional neural networks applied to mutual information of H&E and Ki67 whole slide images
Z Swiderska-Chadaj, J Gallego, L Gonzalez-Lopez, G Bueno
Applied Sciences 10 (21), 7761, 2020
42020
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
32018
The system can't perform the operation now. Try again later.
Articles 1–20