Web: http://arxiv.org/abs/2206.08023

June 17, 2022, 1:10 a.m. | Yuanfeng Ji, Haotian Bai, Jie Yang, Chongjian Ge, Ye Zhu, Ruimao Zhang, Zhen Li, Lingyan Zhang, Wanling Ma, Xiang Wan, Ping Luo

cs.LG updates on arXiv.org arxiv.org

Despite the considerable progress in automatic abdominal multi-organ
segmentation from CT/MRI scans in recent years, a comprehensive evaluation of
the models' capabilities is hampered by the lack of a large-scale benchmark
from diverse clinical scenarios. Constraint by the high cost of collecting and
labeling 3D medical data, most of the deep learning models to date are driven
by datasets with a limited number of organs of interest or samples, which still
limits the power of modern deep models and makes …

arxiv benchmark image medical scale segmentation

More from arxiv.org / cs.LG updates on arXiv.org

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