Article

An Explainable SSL-Based Model for Robust Multi-Class Brain Tumor Classification from MRI Images

2025-10-08

Abstract excerpt

<title>Abstract</title> <p>Accurate and interpretable brain tumor classification from magnetiSSc resonance imaging (MRI) is important for timely detection and effective treatment planning. Deep supervised learning methods, though strong, are limited by their reliance on vast labeled datasets and their lack of explainability in clinical decision-making. In this work, we introduce a self-supervised learning (SSL) a...

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Literature Corpus work: 9fb63017-4c36-5b4a-a4dc-c749c03739dc
DOI: 10.21203/rs.3.rs-7725530/v1

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