Back to search

Article

An Ensemble Learning Approach using Self-Supervised and Meta-Learning for Few-Shot Pneumonia Detection in Chest X-Ray Images

2025-08-26

Abstract excerpt

<title>Abstract</title> <p>Pneumonia remains one of the leading causes of mortality worldwide, particularly among children and the elderly. Early detection is critical for improving patient outcomes; however, traditional diagnostic methods require expert radiologists and large amounts of labeled data, often scarce in resource-limited settings. To address this challenge, this study proposes SimCLR-MAML, a hybrid m...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
17557666-8788-5034-b7f7-545e95ef5a72
DOI
10.21203/rs.3.rs-7063509/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
An Ensemble Learning Approach using Self-Supervised and Meta-Learning for Few-Shot Pneumonia Detection in Chest X-Ray ImagesDOI 10.21203/rs.3.rs-7063509/v1
Select a neighboring publication to make it the new centre.