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 |
Telepathology in Medical Education: Integration of Digital Microscopy in Distance Pathology Education during COVID-19 Pandemic S Sensu, O Teke, M Demirci, S Kutlu, BN Genc, S Ayalti, YS Gurbuz, ... Journal of Medical Science and Clinical Research 5, 6, 2020 | 14 | 2020 |
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 |
An automated and accurate methodology to assess ki-67 labeling index of immunohistochemical staining images of breast cancer tissues S Razavi, FD Khameneh, EA Serteli, S Cayir, SB Cetin, G Hatipoglu, ... 2018 25th International Conference on Systems, Signals and Image Processing …, 2018 | 9 | 2018 |
Segmentation of the main structures in Hematoxylin and Eosin images S Çayır, EA Serteli, S Ayalti, ŞB Çetin, G Hatipoglu, M Kamasak, Ç Yazıcı, ... 2018 26th Signal Processing and Communications Applications Conference (SIU …, 2018 | 5 | 2018 |
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 |
Nuclei segmentation in hematoxylin and eosin (h&e)-stained histopathological images using a deep neural network S Çayır, SH Tarcan, S Ayaltı, S Razavi, F Khameneh, ŞB Çetin, G Solmaz, ... 2020 28th Signal Processing and Communications Applications Conference (SIU …, 2020 | 2 | 2020 |
Çisem Yazıcı, Cavit Kerem Kayhan, et al. Nuclei segmentation in hematoxylin and eosin (h&e)-stained histopathological images using a deep neural network S Çayır, SH Tarcan, S Ayaltı, S Razavi, F Khameneh, SB Çetin, G Solmaz, ... 2020 28th Signal Processing and Communications Applications Conference (SIU …, 0 | 2 | |
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 |
Automated cell segmentation and spot detection in fluorescence in situ hybridization staining to assess HER2 status in breast cancer ŞB Çetin, FD Khameneh, EA Serteli, S Çayır, G Hatipoğlu, M Kamasak, ... 2018 26th Signal Processing and Communications Applications Conference (SIU …, 2018 | 1 | 2018 |
An automated deep learning based mitotic cell detection and recognition in whole slide invasive breast cancer tissue images S Cayir, G Solmaz, H Kusetogullari, F Tokat, E Bozaba, S Karakaya, ... VIRCHOWS ARCHIV 481 (SUPPL 1), S303-S303, 2022 | | 2022 |
Whole slide histologic grading of breast cancer using convolutional neural networks. G Demir, LO Iheme, G Solmaz, C Yazici, F Tokat, S Çayır, E Bozaba, ... Journal of Clinical Oncology 40 (16_suppl), e13607-e13607, 2022 | | 2022 |
Nuclei Segmentation in Hematoxylin and Eosin (HE)-Stained Histopathological Images Using a Deep Neural Network Bir Derin Sinir Agi Kullanarak Hematoksilen ve Eozin ile Boyanmis … S Cayir, S Tarcan, S Ayalti, S Razavi, F Khameneh, S Cetin, G Solmaz, ... | | 2020 |
Author Desk S Sensu, O Teke, M Demirci, S Kutlu, BN Genc, S Ayalti, YS Gurbuz, ... | | 2020 |
Telepathology in Medical Education S Sensu | | |