AI RESEARCH
Entropy-Guided Self-Supervised Learning for Medical Image Classification
arXiv CS.CV
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ArXi:2605.21970v1 Announce Type: cross Accurate and robust medical image classification is paramount for early disease diagnosis and treatment planning. However, challenges such as limited annotated data, high intra-class variability, and subtle inter-class differences often hinder the performance of deep learning models. This paper