Welikala, Roshan Alex, Remagnino, Paolo, Lim, Jian Han, Chan, Chee Seng, Rajendran, Senthilmani, Kallarakkal, Thomas George, Zain, Rosnah Binti, Jayasinghe, Ruwan Duminda, Rimal, Jyotsna, Kerr, Alexander Ross, Amtha, Rahmi, Patil, Karthikeya, Tilakaratne, Wanninayake Mudiyanselage, Gibson, John, Cheong, Sok Ching and Barman, Sarah Ann (2020) Fine-tuning deep learning architectures for early detection of oral cancer. In: 2nd International Symposium on Mathematical and Computational Oncology (ISMCO); 08-10 Oct 2020, Held online.

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Official URL:	https://doi.org/10.1007/978-3-030-64511-3_3
Item Type:	Conference or Workshop Item (Paper)
Event Title:	2nd International Symposium on Mathematical and Computational Oncology (ISMCO)
Organising Body:	International Symposium on Mathematical and Computational Oncology
Additional Information:	Published in: Bebis, George., Alekseyev, Max., Cho, Heyrim., Gevertz, Jana., Rodriguez Martinez, Maria. (eds.) (2020) Mathematical and Computational Oncology. Second International Symposium, ISMCO 2020, San Diego, CA, USA, October 8–10, 2020, Proceedings. Cham, Switzerland : Springer International Publishing. pp. 25-31. (Lecture Notes in Computer Science, vol. 12508) ISSN (print) 0302-9743 ISBN (print) 9783030645106. This work was supported by the Medical Research Council (MR/S013865/1).
Research Area:	Research Areas > Cancer studies Research Areas > Computer science and informatics
Faculty, School or Research Centre:	Faculty of Science, Engineering and Computing Faculty of Science, Engineering and Computing > School of Computer Science and Mathematics
Date Deposited:	28 Jan 2021 17:23
Last Modified:	15 Oct 2024 15:45
DOI:	https://doi.org/10.1007/978-3-030-64511-3_3
URI:	https://eprints.kingston.ac.uk/id/eprint/48004

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