@conference{45a7a84a4bc6431899423c3d3d41cf5b,
title = "Clinically guided trainable soft attention for early detection of oral cancer",
keywords = "Cancer studies",
author = "Roshan Welikala and Paolo Remagnino and Lim, \{Jian Han\} and Chan, \{Chee Seng\} and Senthilmani Rajendran and Kallarakkal, \{Thomas George\} and Zain, \{Rosnah Binti\} and Jayasinghe, \{Ruwan Duminda\} and Jyotsna Rimal and Kerr, \{Alexander Ross\} and Rahmi Amtha and Karthikeya Patil and Tilakaratne, \{Wanninayake Mudiyanselage\} and Cheong, \{Sok Ching\} and Barman, \{Sarah Ann\}",
note = "Note: Published in: Tsapatsoulis N., Panayides A., Theocharides T., Lanitis A., Pattichis C., Vento M. (eds) Computer Analysis of Images and Patterns. CAIP 2021. Lecture Notes in Computer Science, vol 13052, Springer, Cham, ISBN 9783-030891275, pp 226-236. This work was supported by the Medical Research Council (MR/S013865/1). Organising Body: CAIP; The 19th International Conference on Computer Analysis of Images and Patterns (CAIP 2021) ; Conference date: 27-09-2021 Through 01-10-2021",
year = "2021",
doi = "10.1007/978-3-030-89128-2\_22",
language = "English",
}