Muscularis 发表于 2025-3-23 09:42:58
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Jiameng Liu,Feihong Liu,Kaicong Sun,Mianxin Liu,Yuhang Sun,Yuyan Ge,Dinggang Shened by an outlook for the future...The didactic structure of the textbook includes learning objectives, practical examples and case studies as well as learning comprehension questions and the opportunity to test978-3-658-45021-2978-3-658-45022-9小样他闲聊 发表于 2025-3-23 18:53:48
Liu Li,Qiang Ma,Cheng Ouyang,Zeju Li,Qingjie Meng,Weitong Zhang,Mengyun Qiao,Vanessa Kyriakopoulou,Jed by an outlook for the future...The didactic structure of the textbook includes learning objectives, practical examples and case studies as well as learning comprehension questions and the opportunity to test978-3-658-45021-2978-3-658-45022-9朴素 发表于 2025-3-24 00:57:48
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Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentationtrastive perspective that enables channel-wise feature disentanglement using a single source domain. We evaluated C.SDG against six SDG methods on a multi-domain joint optic cup and optic disc segmentation benchmark. Our results suggest the effectiveness of each module in C.SDG and also indicate thaCanvas 发表于 2025-3-24 23:13:09
Transformer-Based Annotation Bias-Aware Medical Image Segmentationies to extract the different preference-focused features. This enables TAB to produce segmentation with various preferences simultaneously using a single segmentation head. Moreover, TAB takes the multivariant normal distribution assumption that models pixel correlations, and learns the annotation d