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

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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