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Research questionHow can medical image models segment lesions despite complex backgrounds and varied morphologies?Lesions can blend with surrounding structures, while their size and shape may differ substantially across cases. These factors make it difficult for standard encoder–decoder models to isolate lesion boundaries reliably.
AI
Computer Vision
Diffusion Models
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Image & Video Processing
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Research Paper
Latest papersRecent research connected to this question, newest first.Feature Reconfiguration With Visual Prior for Medical Lesion SegmentationThe source presents FreNet for medical lesion segmentation, using visual priors from SAM before encoding and feature reconfiguration during encoding. Evidence covers nine benchmarks across three imaging modalities, including reported Dice improvements on the ETIS dataset.research paper · Sep 5, 2026InstEditSeg: Instruction-Driven Image Editing for Polyp and Skin Lesion SegmentationThe source presents an instruction-driven generative segmentation framework that renders color-coded overlays from medical images and textual instructions. It combines latent diffusion with auxiliary visual features and reports results on polyp and skin-lesion benchmarks, including cross-domain generalization and multi-lesion segmentation; the reported limitations include color sensitivity and unsupported attribute-conditioned selection.research paper · Sep 2, 2026
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