Dataset Groups Activity Stream MDU-Net: Multi-scale Densely Connected U-Net for Biomedical Image Segmentation Biomedical image segmentation plays a central role in quantitative analysis, clinical diagnosis, and medical intervention. BibTex: @dataset{Jiawei_Zhang_and_Yuzhen_Jin_and_Jilan_Xu_and_Xiaowei_Xu_and_Yanchun_Zhang_2024, abstract = {Biomedical image segmentation plays a central role in quantitative analysis, clinical diagnosis, and medical intervention.}, author = {Jiawei Zhang and Yuzhen Jin and Jilan Xu and Xiaowei Xu and Yanchun Zhang}, doi = {10.57702/ps78a1vs}, institution = {No Organization}, keyword = {'Biomedical Image Segmentation', 'Multi-scale Dense Connections', 'U-Net'}, month = {dec}, publisher = {TIB}, title = {MDU-Net: Multi-scale Densely Connected U-Net for Biomedical Image Segmentation}, url = {https://service.tib.eu/ldmservice/dataset/mdu-net--multi-scale-densely-connected-u-net-for-biomedical-image-segmentation}, year = {2024} }
