Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Soumitri Chattopadhyay"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)
Abstract Colorectal cancer is the third most common type of cancer diagnosed annually, and the second leading cause of death due to cancer. Early diagnosis of this ailment is vital for preventing the tumours to spread and plan treatment to possibly e
Externí odkaz:
https://doaj.org/article/b7513d0e7c4f4bc28d32493cf7c0c979
Publikováno v:
Multimedia Tools and Applications. 82:11461-11487
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f9ce0f9c8cc39286dc0df4c7a091c39
https://doi.org/10.1007/s11042-022-14052-y
https://doi.org/10.1007/s11042-022-14052-y
Autor:
Benyamin Abdollahzadeh, Silifat Adaramaja Abdulraheem, Iyad Abu-Doush, Mohammed Azmi Al-Betar, Yusuf Sahabi Ali, Khalifa Al-Jabri, Ghazi Al-Rawas, Ankush Anand, Mohammed A. Awadallah, Parnian Hashempour Bakhtiari, P. Shanthi Bala, Kusum Kumari Bharti, Gautam M. Borkar, Malik Shehadeh Braik, Özay Can, Soumitri Chattopadhyay, Aybike Özyüksel Çiftçioğlu, Ahmet Cevahir Cinar, Serdar Ekinci, Hasan Eroğlu, Amir H. Gandomi, Mohammadali Geranmehr, Farhad Soleimanian Gharehchopogh, Ibrahim Hayatu Hassan, Davut Izci, Sehej Jain, Isuwa Jeremiah, Ersin Kaya, Muhammad Najeeb Khan, Nima Khodadadi, Hisham M. Khudhur, Krishanu Kundu, Aritra Marik, Mansur Aliyu Masama, Mwangi Mbuthia, Seyedali Mirjalili, Abdullahi Mohammed, Rafaa Mraihi, Mohammad Reza Nikoo, Abraham Nyete, Ali Öztürk, Narendra Nath Pathak, Anita R. Patil, Rishav Pramanik, Bochra Rabbouch, Hana Rabbouch, Sajad Ahmad Rather, Foued Saâdaoui, Davies Segera, Sevil Sen, Amit Kumar Sinha, Bahaeddin Turkoglu, Sait Ali Uymaz, Selim Yilmaz, Ehsan Yousefi-Khoshqalb
Publikováno v:
Comprehensive Metaheuristics ISBN: 9780323917810
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dd6226b3aa5e931607ec81c35cf9841
https://doi.org/10.1016/b978-0-323-91781-0.09992-0
https://doi.org/10.1016/b978-0-323-91781-0.09992-0
Publikováno v:
Comprehensive Metaheuristics ISBN: 9780323917810
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a372ade126839765fb2d8c4ff694945a
https://doi.org/10.1016/b978-0-323-91781-0.00003-x
https://doi.org/10.1016/b978-0-323-91781-0.00003-x
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789819900466
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d729c3e0b0911d9d6c38ef4a87747d2
https://doi.org/10.1007/978-981-99-0047-3_41
https://doi.org/10.1007/978-981-99-0047-3_41
Publikováno v:
International Journal of Intelligent Systems. 37:3777-3814
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c028ea0aff724bb09de6e46b20988a7f
https://doi.org/10.1002/int.22703
https://doi.org/10.1002/int.22703
Due to the scarcity of labeled data, Contrastive Self-Supervised Learning (SSL) frameworks have lately shown great potential in several medical image analysis tasks. However, the existing contrastive mechanisms are sub-optimal for dense pixel-level s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a80bd6e134218bcb6ec45c3dd15d27a7
http://arxiv.org/abs/2210.15075
http://arxiv.org/abs/2210.15075
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Writer independent offline signature verification is one of the most challenging tasks in pattern recognition as there is often a scarcity of training data. To handle such data scarcity problem, in this paper, we propose a novel self-supervised learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce35de62641f709b9b08ce4f100b0840
https://doi.org/10.1109/icip46576.2022.9897562
https://doi.org/10.1109/icip46576.2022.9897562
Offline Signature Verification (OSV) is a fundamental biometric task across various forensic, commercial and legal applications. The underlying task at hand is to carefully model fine-grained features of the signatures to distinguish between genuine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5d3c9535387c61b371695abaa5eccae