Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kenan Morani"'
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 9, Iss 3, Pp 524-536 (2023)
The significance of efficient and accurate diagnosis amidst the unique challenges posed by the COVID-19 pandemic underscores the urgency for innovative approaches. In response to these challenges, we propose a transfer learning-based approach using a
Externí odkaz:
https://doaj.org/article/9f9fbf2bb587484b91dd15b977409138
Publikováno v:
International Journal of Biomedical Imaging, Vol 2024 (2024)
This paper extends our previous method for COVID-19 diagnosis, proposing an enhanced solution for detecting COVID-19 from computed tomography (CT) images using a lean transfer learning-based model. To decrease model misclassifications, two key steps
Externí odkaz:
https://doaj.org/article/535f282decae491eafc637ede4a38ecb
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:
Kenan Morani
Publikováno v:
Europe PubMed Central
The main purpose of this study is to develop a pipeline for COVID-19 detection from a big and challenging database of Computed Tomography (CT) images. The proposed pipeline includes a segmentation part, a lung extraction part, and a classifier part.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59b4d1d25eb51b0fc9ec2bec7dc39074
http://arxiv.org/abs/2210.02992
http://arxiv.org/abs/2210.02992
Autor:
Kenan Morani, Unay D
Publikováno v:
Europe PubMed Central
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::201f545590c4294c7d21d6301a11a34a
http://europepmc.org/abstract/PPR/PPR425680
http://europepmc.org/abstract/PPR/PPR425680