September 20, 2025Open Access

A Self-Supervised Learning Frameworks for MRI-Based Medical Image Classification:

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Review of self-supervised learning applications in MRI image classification, suggesting potential advancements.

Self-supervised learning reduces reliance on annotated data in medical image classification, improving accessibility.
The review discusses various techniques within the self-supervised learning framework for MRI images.
By eliminating the need for labeled datasets, the framework enhances research opportunities in medical imaging.
This method shows promise for future advancements and practical applications in the field of medical image analysis.

Tanweer Ali (2025) studied this question.

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