Multi-Granularity 3D Kidney Lesion Characterization from CT Volumes 事件

Multi-Granularity 3D Kidney Lesion Characterization from CT Volumes arXiv:2606.04365v1 Announce Type: new Abstract: Radiology reports describe kidney lesions by type, size, enhancement, and attenuation, yet existing 3D methods predict only at the patient or organ level. We reformulate kidney CT characterization as a per-lesion set-prediction task: one model emits a variable number of lesions per kidney, each with four clinical attributes. We curated 2,619 CT volumes from 788 patients at one aca