Zaneta Swiderska

According to our database, Zaneta Swiderska authored at least 14 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

HE-to-PAS histological stain conversion by GAN in renal pathology.

Mateusz Lysik, Zaneta Swiderska-Chadaj, Tomasz Markiewicz, Tomasz Les, Szczepan Cierniak, Malgorzata Lorent

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues.

Jaime Gallego, Zaneta Swiderska-Chadaj, Tomasz Markiewicz, Michifumi Yamashita, M. Alejandra Gabaldon, Arkadiusz Gertych

Comput. Medical Imaging Graph., 2021

Automatic generation of graphical game assets using GAN.

Rafal Karp, Zaneta Swiderska-Chadaj

Proceedings of the ICCTA 2021: 7th International Conference on Computer Technology Applications, Vienna, Austria, July 13, 2021

2020

Predicting MYC translocation in HE specimens of diffuse large B-cell lymphoma through deep learning.

Zaneta Swiderska-Chadaj, Konnie M. Hebeda, Michiel van den Brand, Geert Litjens

Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

A deep learning approach to assess the predominant tumor growth pattern in whole-slide images of lung adenocarcinoma.

Zaneta Swiderska-Chadaj, Karolina Nurzynska, Bartlomiej Grala, Katrien Grunberg, Lieke van der Woude, Monika Looijen-Salamon, Ann E. Walts, Tomasz Markiewicz, Francesco Ciompi, Arkadiusz Gertych

Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

2019

Learning to detect lymphocytes in immunohistochemistry with deep learning.

Zaneta Swiderska-Chadaj, Hans Pinckaers, Mart van Rijthoven, Maschenka Balkenhol, Margarita Melnikova, Oscar Geessink, Quirine Manson, Mark Sherman, António Polónia, Jeremy Parry, Mustapha Abubakar, Geert Litjens, Jeroen van der Laak, Francesco Ciompi

Medical Image Anal., 2019

Contextual Classification of Tumor Growth Patterns in Digital Histology Slides.

Zaneta Swiderska-Chadaj, Zhaoxuan Ma, Nathan Ing, Tomasz Markiewicz, Malgorzata Lorent, Szczepan Cierniak, Ann E. Walts, Beatrice S. Knudsen, Arkadiusz Gertych

Proceedings of the Information Technology in Biomedicine, 2019

2018

Image processing methods for the structural detection and gradation of placental villi.

Zaneta Swiderska-Chadaj, Tomasz Markiewicz, Robert Koktysz, Szczepan Cierniak

Comput. Biol. Medicine, 2018

Semantic Segmentation of Colon Glands in Inflammatory Bowel Disease Biopsies.

Zhaoxuan Ma, Zaneta Swiderska-Chadaj, Nathan Ing, Hootan Salemi, Dermot P. B. McGovern, Beatrice S. Knudsen, Arkadiusz Gertych

Proceedings of the Information Technology in Biomedicine, 2018

2017

A Deep Learning Pipeline to Delineate Proliferative Areas of Intracranial Tumors in Digital Slides.

Zaneta Swiderska-Chadaj, Tomasz Markiewicz, Bartlomiej Grala, Malgorzata Lorent, Arkadiusz Gertych

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

2016

Texture Analysis to Trophoblast and Villi Detection in Placenta Histological Images.

Zaneta Swiderska-Chadaj, Tomasz Markiewicz, Robert Koktysz, Wojciech Kozlowski

Proceedings of the Information Technologies in Medicine - 5th International Conference, 2016

2015

Hourglass Shapes in Rank Grey-Level Hit-or-miss Transform for Membrane Segmentation in HER2/neu Images.

Marek Wdowiak, Tomasz Markiewicz, Stanislaw Osowski, Zaneta Swiderska, Janusz Patera, Wojciech Kozlowski

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015

Hot-spot selection and evaluation methods for whole slice images of meningiomas and oligodendrogliomas.

Zaneta Swiderska, Tomasz Markiewicz, Bartlomiej Grala, Janina Slodkowska

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Texture and Mathematical Morphology for Hot-Spot Detection in Whole Slide Images of Meningiomas and Oligodendrogliomas.

Zaneta Swiderska, Tomasz Markiewicz, Bartlomiej Grala, Wojciech Kozlowski

Proceedings of the Computer Analysis of Images and Patterns, 2015