Uncertainty-driven active learning in a deep semi-supervised framework for WCE image classification

Uncertainty-driven active learning in a deep semi-supervised framework for WCE image classification

Wireless Capsule Endoscopy (WCE) image classification using deep learning models is hindered by data scarcity and model uncertainty. Labelling medical images is costly and time-consuming, limiting the availability of labelled data for training. To address these challenges, this work proposes ACT-WIS...

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Bibliographic Details
Main Authors: Prabhanantha Kumar Muruganantham, Senthil Murugan Balakrishnan
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Results in Engineering
Subjects:
Active semi-supervised learning
Capsule endoscopy
Uncertainty-aware models
Teacher-student consistency regularisation
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025022467
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http://www.sciencedirect.com/science/article/pii/S2590123025022467

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