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Samet Ayalti
Samet Ayalti
Virasoft Corp
Verified email at virasoft.com - Homepage
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Cited by
Cited by
Year
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
182022
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
142020
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
122023
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
92018
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
52018
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
32021
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
22023
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
22020
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
12021
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
12018
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
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