Convolutional Neural Network-Based Clinical Predictors of Oral Dysplasia: Class Activation Map Analysis of Deep Learning Results

Convolutional Neural Network-Based Clinical Predictors of Oral Dysplasia: Class Activation Map Analysis of Deep Learning Results

Oral cancer/oral squamous cell carcinoma is among the top ten most common cancers globally, with over 500,000 new cases and 350,000 associated deaths every year worldwide. There is a critical need for objective, novel technologies that facilitate early, accurate diagnosis. For this purpose, we have...

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Bibliographic Details
Main Authors: Seda Camalan, Hanya Mahmood, Hamidullah Binol, Anna Luiza Damaceno Araújo, Alan Roger Santos-Silva, Pablo Agustin Vargas, Marcio Ajudarte Lopes, Syed Ali Khurram, Metin N. Gurcan
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Cancers
Subjects:
oral epithelial dysplasia
oral cancer
squamous cell carcinoma
leucoplakia
erythroplakia
transfer learning
Online Access:https://www.mdpi.com/2072-6694/13/6/1291

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https://www.mdpi.com/2072-6694/13/6/1291

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