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Sex classification from hand X-ray images in pediatric patients: How zero-shot Segment Anything Model (SAM) can improve medical image analysis

Ramón A. Mollineda · Karel Becerra · Boris Mederos

• A zero-prompt strategy for hand segmentation in X-ray images based on zero-shot SAM.
• A thorough sex classification study from original and segmented hand X-ray images.
• A low-cost deep learning solution for sex classification from hand X-ray images.
• Visual explanation of model decisions from the aggregation of attention maps.
• Novel use case in biological anthropology: sex estimation of prehistoric handprints.