Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Cisem Yazici"'
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:
Cisem Yazici, Gulsah Ozsoy, Gizem Solmaz, Samet Ayalti, Umit Ince, Cavit Kerem Kayhan, Engin Bozaba, Leonardo O. Iheme, Sercan Cayir, Fatma Tokat
Publikováno v:
SIU
The number of breast cancer cases and mortality rate has been on the rise globally. For effective treatment and curbing the mortality rate, early diagnosis is paramount. To evaluate the effectiveness of treatment, a fundamental step is histopathologi
Autor:
Umit Ince, Engin Bozaba, Cavit Kerem Kayhan, Gulsah Ozsoy, Fatma Tokat, Gizem Solmaz, Sercan Cayir, Leonardo O. Iheme, Cisem Yazici, Samet Ayalti
Publikováno v:
Computer Analysis of Images and Patterns ISBN: 9783030891275
CAIP (1)
CAIP (1)
In an effort to ease the job of pathologists while examining Hematoxylin and Eosin stained breast tissue, this study presents a deep learning-based classifier of nuclear pleomorphism according to the Nottingham grading scale. We show that high classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d7fd6e91ad7c98411e68922650dcc27
https://doi.org/10.1007/978-3-030-89128-2_18
https://doi.org/10.1007/978-3-030-89128-2_18
Autor:
Sukru Burak Cetin, Salar Razavi, Fariba D. Khameneh, Fatma Tokat, Cavit Kerem Kayhan, Sercan Cayir, Gulsah Ozsoy, Gizem Solmaz, Samet Ayalti, Serim Hande Tarcan, Cisem Yazici
Publikováno v:
SIU
Breast cancer, being the second most frequently seen cancer globally, is the most common cancer among women. Early and accurate diagnosis is dependent on the correct identification of nuclei in histopathological images, which is a very tedious task w
Autor:
Sercan Cayir, Imam Samil Yetik, Fariba D. Khameneh, Sukru Burak Cetin, Salar Razavi, Gokhan Hatipoglu, Ercan Alp Serteli, Samet Ayalti, Cisem Yazici, Mustafa E. Kamasak, Ekrem Cihad Cetin
Publikováno v:
SIU
Pathologists conduct a biopsy on a tissue when a carcinoma case for a patient is suspected. They stain the cells on that tissue using some biochemical materials that react with a certain cell element. They put stained cells onto a slide and examine t
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