Interpretable deep learning approach for oral cancer classification using guided attention inference network-Reference-Cited by-同舟云学术

Interpretable deep learning approach for oral cancer classification using guided attention inference network

Published:2022-01-12 Issue:01 Volume:27 Page:
ISSN:1083-3668
Container-title:Journal of Biomedical Optics
language:
Short-container-title:J. Biomed. Opt.

Author:

Figueroa Kevin Chew¹,Song Bofan¹,Sunny Sumsum²,Li Shaobai¹,Gurushanth Keerthi³,Mendonca Pramila⁴,Mukhia Nirza³,Patrick Sanjana⁵,Gurudath Shubha³,Raghavan Subhashini³,Imchen Tsusennaro⁶,Leivon Shirley T.⁶,Kolur Trupti⁴,Shetty Vivek⁴,Bushan Vidya⁴,Ramesh Rohan⁶,Pillai Vijay⁴,Wilder-Smith Petra⁷,Sigamani Alben⁴,Suresh Amritha²,Kuriakose Moni Abraham²,Birur Praveen³,Liang Rongguang¹

Affiliation:

1. The University of Arizona, Wyant College of Optical Sciences, Tucson, Arizona

2. Mazumdar Shaw Medical Centre, Bangalore, Karnataka

3. KLE Society Institute of Dental Sciences, Bangalore, Karnataka

4. Mazumdar Shaw Medical Foundation, Bangalore, Karnataka

5. Biocon Foundation, Bangalore, Karnataka

6. Christian Institute of Health Sciences and Research, Dimapur, Nagaland

7. University of California, Irvine, Beckman Laser Institute & Medical Clinic, Irvine, California

Publisher

SPIE-Intl Soc Optical Eng

Subject

Biomedical Engineering,Atomic and Molecular Physics, and Optics,Biomaterials,Electronic, Optical and Magnetic Materials

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