2 papers
cs.CV2026
ConvNeXt-FD: A Fractal-Based Deep Model for Robust Biomedical Image Segmentation
Joao Batista Florindo, Amanda Pontes de Oliveira Ornelas
Biomedical image segmentation is a critical task in medical diagnosis and treatment planning, enabling precise delineation of anatomical structures and pathological regions. Despit…
cs.CV2026
Attention-Based Chaotic Self-Supervision for Medical Image Classification
Joao Batista Florindo, Amanda Pontes de Oliveira Ornelas
Deep learning models for medical image classification usually achieve promising results but typically rely on large, annotated datasets or standard transfer learning from ImageNet.…