Minimum Data, Maximum Impact: 20 annotated samples for explainable lung nodule classification
机构 * Experimental Radiology, Ulm University Medical Center, Ulm, Germany(实验放射学,乌尔姆大学医学中心,乌尔姆,德国) ; Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, Ulm, Germany(诊断与介入放射学系,乌尔姆大学医学中心,乌尔姆,德国) ; XAIRAD - Cooperation for Artificial Intelligence in Experimental Radiology, Ulm, Germany(XAIRAD - 实验放射学中的人工智能合作)
专题命中 诊断辅助 :medical image(abstract,comments);pathology(abstract);diagnosis(abstract);分类 cs.CV
Comments Accepted at iMIMIC - Interpretability of Machine Intelligence in Medical Image Computing workshop MICCAI 2025 Medical Image Computing and Computer Assisted Intervention