Dataset Groups Activity Stream Synapse Medical image segmentation models are mostly hybrid, which integrate self-attention and convolution layers into the non-isomorphic architecture. BibTex: @dataset{Jiansen_Guo_and_Hong-Yu_Zhou_and_Liansheng_Wang_and_Yizhou_Yu_2024, abstract = {Medical image segmentation models are mostly hybrid, which integrate self-attention and convolution layers into the non-isomorphic architecture.}, author = {Jiansen Guo and Hong-Yu Zhou and Liansheng Wang and Yizhou Yu}, doi = {10.57702/sszt8fsz}, institution = {No Organization}, keyword = {'Abdominal Multi-organ Segmentation', 'Automatic Cardiac Diagnosis', 'Medical Image Segmentation', 'Neural Structures Segmentation', 'Skin Lesion Segmentation'}, month = {dec}, publisher = {TIB}, title = {Synapse}, url = {https://service.tib.eu/ldmservice/dataset/synapse}, year = {2024} }
