Improving Colonoscopy Lesion Classification Using Semi-Supervised Deep Learning

Improving Colonoscopy Lesion Classification Using Semi-Supervised Deep Learning

While data-driven approaches excel at many image analysis tasks, the performance of these approaches is often limited by a shortage of annotated data available for training. Recent work in semi-supervised learning has shown that meaningful representations of images can be obtained from training with...

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Bibliographic Details
Main Authors: Mayank Golhar, Taylor L. Bobrow, Mirmilad Pourmousavi Khoshknab, Simran Jit, Saowanee Ngamruengphong, Nicholas J. Durr
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Colonoscopy
deep learning
domain adaptation
endoscopy
jigsaw
lesion classification
Online Access:https://ieeexplore.ieee.org/document/9308912/

Internet

https://ieeexplore.ieee.org/document/9308912/

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