Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sercan Çayır"'
Autor:
Eren Tekin, Çisem Yazıcı, Huseyin Kusetogullari, Fatma Tokat, Amir Yavariabdi, Leonardo Obinna Iheme, Sercan Çayır, Engin Bozaba, Gizem Solmaz, Berkan Darbaz, Gülşah Özsoy, Samet Ayaltı, Cavit Kerem Kayhan, Ümit İnce, Burak Uzel
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract The tubule index is a vital prognostic measure in breast cancer tumor grading and is visually evaluated by pathologists. In this paper, a computer-aided patch-based deep learning tubule segmentation framework, named Tubule-U-Net, is develope
Externí odkaz:
https://doaj.org/article/f5acb0c4a87541f083ddde2362336979
Autor:
Tanvir Ahmad, Muhammed Fatih Akıl, Fayadh Alenezi, Samet Ayaltı, Aydin Ayanzadeh, Muhammed Balıkçi, Özge Nur Belli, Engin Bozaba, Sheryl Brahnam, Sercan Çayır, K. Chandhru, Shreyasi Roy Chowdhury, Daniela Cuza, Berkan Darbaz, Yusuf Sait Erdem, Ömer Faruk Ertuğrul, Ihar Filipovich, Leonardo Obinna Iheme, Ümit İnce, R. Karthik, Cavit Kerem Kayhan, Yash Khare, Vassili Kovalev, Huseyin Kusetogulları, Andrea Loreggia, Alessandra Lumini, Sarfaraz Masood, Berkay Mayalı, Susmita Mazumdar, Kenan Morani, Abdullah-Al Nahid, Loris Nanni, Sevgi Önal, Gülşah Özsoy, Şaban Öztürk, Abdulhalık Oğuz, Devrim Pesen Okvur, Kemal Polat, Ahmedkhan Radzhabov, Md. Johir Raihan, Samta Rani, Umit Senturk, Eduard Snezhko, Gizem Solmaz, Makesh Srinivasan, Eren Tekin, Fatma Tokat, Behçet Uğur Töreyin, Mahmut Uçar, Devrim Ünay, Burak Uzel, Özden Yalçın Özyusal, Çisem Yazıcı, Ibrahim Yucedag
Publikováno v:
Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods ISBN: 9780323961295
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8c094fd0c22d6b5c75b3220ec9b9521
https://doi.org/10.1016/b978-0-323-96129-5.00018-4
https://doi.org/10.1016/b978-0-323-96129-5.00018-4
Autor:
Sercan Çayır, Berkan Darbaz, Gizem Solmaz, Çisem Yazıcı, Huseyin Kusetogulları, Fatma Tokat, Leonardo Obinna Iheme, Engin Bozaba, Eren Tekin, Gülşah Özsoy, Samet Ayaltı, Cavit Kerem Kayhan, Ümit İnce, Burak Uzel
Publikováno v:
Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods ISBN: 9780323961295
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5a47c69c62606f3254af1ac19cf8c2e
https://doi.org/10.1016/b978-0-323-96129-5.00007-x
https://doi.org/10.1016/b978-0-323-96129-5.00007-x
Autor:
Sercan Çayır, Gizem Solmaz, Huseyin Kusetogullari, Fatma Tokat, Engin Bozaba, Sencer Karakaya, Leonardo Obinna Iheme, Eren Tekin, Çisem Yazıcı, Gülşah Özsoy, Samet Ayaltı, Cavit Kerem Kayhan, Ümit İnce, Burak Uzel, Onur Kılıç
Mitosis assessment of breast cancer has a strong prognostic importance and is visually evaluated by pathologists. The inter, and intra-observer variability of this assessment is high. In this paper, a two-stage deep learning approach, named MITNET, h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89512711bcd2b88bf5a9a4cf86a021cb
https://doi.org/10.1007/s00521-022-07441-9
https://doi.org/10.1007/s00521-022-07441-9
Autor:
Gokhan Demir, Leonard O. Iheme, Gizem Solmaz, Cisem Yazici, Fatma Tokat, Sercan Çayır, Engin Bozaba, Muhammet Eren Tekin, Gülşah Özsoy, Samet Ayaltı, Cavit Kerem Kayhan, Ümit İnce, Burak Uzel, Huseyin Kusetogullari
e13607 Background: The Nottingham histologic grade (NHG) is a strong prognostic factor in early-stage breast cancer. It consists of nuclear pleomorphism, tubular formation, and mitotic count. We recently developed an artificial intelligence (AI) base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e398fec634ae8ced3f7e9044212c8c80
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-23839
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-23839
Autor:
Hasan Güngör, Fatih Sivri, Burak Oğulcan Yıldırım, Sercan Çayırlı, Özgün Demiroğlu, Cem Utku Yeşilkaya, Cemil Zencir
Publikováno v:
Brazilian Journal of Cardiovascular Surgery, Vol 36, Iss 1, Pp 25-31 (2021)
Abstract Introduction: This study aimed to evaluate the effects of coronary collateral circulation (CCC) in patients who had undergone coronary artery bypass grafting (CABG). Methods: A total of 127 patients who had undergone CABG (2011-2013) were en
Externí odkaz:
https://doaj.org/article/2b3c4459b37241b1897f166c8946f205
Publikováno v:
International Journal of the Cardiovascular Academy, Vol 6, Iss 2, Pp 70-74 (2020)
Background: The adaptation of the cardiovascular system to exercise differs according to the type of sport. The aim of this study is to evaluate the effect of regular exercise on left atrial (LA) mechanical functions in professional wrestlers at inte
Externí odkaz:
https://doaj.org/article/87cb3e547c604e58a3a5b8cc71e7e5fa