TP-Seg: Task-Prototype Framework for Unified Medical Lesion Segmentation
TP-Seg: Task-Prototype Framework for Unified Medical Lesion Segmentation explores A unified medical lesion segmentation framework that uses task-aware adapters and prototype-guided decoders to achieve state-of-the-art performance across diverse imaging modalities and lesion types.. Commercial viability score: 7/10 in Medical AI.
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