MITNET: a novel dataset and a two-stage deep learning approach for mitosis recognition in whole slide images of breast cancer tissue S Çayır, G Solmaz, H Kusetogullari, F Tokat, E Bozaba, S Karakaya, ... Neural Computing and Applications 34 (20), 17837-17851, 2022 | 18 | 2022 |
Tubule-U-Net: a novel dataset and deep learning-based tubule segmentation framework in whole slide images of breast cancer E Tekin, Ç Yazıcı, H Kusetogullari, F Tokat, A Yavariabdi, LO Iheme, ... Scientific Reports 13 (1), 128, 2023 | 12 | 2023 |
Domain generalization across tumor types, laboratories, and species—Insights from the 2022 edition of the Mitosis Domain Generalization Challenge M Aubreville, N Stathonikos, TA Donovan, R Klopfleisch, J Ammeling, ... Medical Image Analysis, 103155, 2024 | 3 | 2024 |
Nuclei Detection on Breast Cancer Histopathology Images Using RetinaNet E Bozaba, G Solmaz, Ç Yazıcı, G Özsoy, F Tokat, LO Iheme, S Çayır, ... 2021 29th Signal Processing and Communications Applications Conference (SIU …, 2021 | 3 | 2021 |
Patch-based approaches to whole slide histologic grading of breast cancer using convolutional neural networks S Çayır, B Darbaz, G Solmaz, Ç Yazıcı, H Kusetogulları, F Tokat, ... Diagnostic Biomedical Signal and Image Processing Applications with Deep …, 2023 | 2 | 2023 |
Patch-Level Nuclear Pleomorphism Scoring Using Convolutional Neural Networks LO Iheme, G Solmaz, F Tokat, S Çayir, E Bozaba, Ç Yazici, G Özsoy, ... Computer Analysis of Images and Patterns: 19th International Conference …, 2021 | 1 | 2021 |