Interpretable deep learning approach for oral cancer classification using guided attention inference network.
Figueroa KC, Song B, Sunny S, Li S, Gurushanth K, Mendonca P, Mukhia N, Patrick S, Gurudath S, Raghavan S, Imchen T, Leivon ST, Kolur T, Shetty V, Bushan V, Ramesh R, Pillai V, Wilder-Smith P, Sigamani A, Suresh A, Kuriakose MA, Birur P, Liang R.
Figueroa KC, et al. Among authors: li s.
J Biomed Opt. 2022 Jan;27(1):015001. doi: 10.1117/1.JBO.27.1.015001.
J Biomed Opt. 2022.
PMID: 35023333
Free PMC article.
Furthermore, CNNs may incorrectly concentrate on other areas surrounding the salient object, rather than the network's attention focusing directly on the object to be recognized, as the network has no incentive to focus solely on the correct subjects to be detected. ...We …
Furthermore, CNNs may incorrectly concentrate on other areas surrounding the salient object, rather than the network's attention focu …