Fine-tuning recent natural-domain foundation models, especially AIMv2, improves medical image classification accuracy across mammography, skin lesion, retinopathy, and chest X-ray benchmarks.
In recent years, foundation models have gained significant interest in the research community, becoming a cornerstone in various fields of artificial intelligence [1]
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Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation Models
Fine-tuning recent natural-domain foundation models, especially AIMv2, improves medical image classification accuracy across mammography, skin lesion, retinopathy, and chest X-ray benchmarks.