2 papers
cs.CV2026
A multifractal-based masked auto-encoder: an application to medical images
Joao Batista Florindo, Viviane de Moura
Masked autoencoders (MAE) have shown great promise in medical image classification. However, the random masking strategy employed by traditional MAEs may overlook critical areas in…
eess.IV2026
Entropy-Guided Self-Supervised Learning for Medical Image Classification
Joao Florindo, Viviane Moura
Accurate and robust medical image classification is paramount for early disease diagnosis and treatment planning. However, challenges such as limited annotated data, high intra-cla…