Classification of Polyps in Endoscopic Images Using Self-Supervised Structured Learning
This study uses a two-stage learning computer-aided diagnosis (CAD) scheme that has a convolutional neural network(CNN) with self-supervised learning(SSL) to classify polyps as either a hyperplastic polyp (HP) or a Tubular Adenoma (TA). The proposed model uses look-into-object (LIO) and contrastive...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10128702/ |