Fine-tuning deep learning architectures for early detection of oral cancer

  • Roshan Alex Welikala
  • , Paolo Remagnino
  • , Jian Han Lim
  • , Chee Seng Chan
  • , Senthilmani Rajendran
  • , Thomas George Kallarakkal
  • , Rosnah Binti Zain
  • , Ruwan Duminda Jayasinghe
  • , Jyotsna Rimal
  • , Alexander Ross Kerr
  • , Rahmi Amtha
  • , Karthikeya Patil
  • , Wanninayake Mudiyanselage Tilakaratne
  • , John Gibson
  • , Sok Ching Cheong
  • , Sarah Ann Barman

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Original languageEnglish
    Title of host publicationPublished 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). Organising Body: International Symposium on Mathematical and Computational Oncology Organising Body: International Symposium on Mathematical and Computational Oncology
    DOIs
    Publication statusPublished - 8 Oct 2020

    Bibliographical note

    Note: 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).

    Organising Body: International Symposium on Mathematical and Computational Oncology

    Organising Body: International Symposium on Mathematical and Computational Oncology

    Keywords

    • Cancer studies

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