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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
|
| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025022467 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|