Learning to Select Like Humans: Explainable Active Learning for Medical Imaging

arXiv:2602.13308v2 Announce Type: replace-cross Abstract: Medical image analysis requires substantial labeled data for model training, yet expert annotation is expensive and time-consuming. Active learning (AL) addresses this challenge by strategically selecting the most infor...

🔗 Read more: https://arxiv.org/abs/2602.13308

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