May 10, 2024, 4:45 a.m. | Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Brandon Khoury, Boah Kim, Benjamin Hou, Nusrat Rabbee, Ronald M. Summers

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.05944v1 Announce Type: cross
Abstract: Background: Segmentation of organs and structures in abdominal MRI is useful for many clinical applications, such as disease diagnosis and radiotherapy. Current approaches have focused on delineating a limited set of abdominal structures (13 types). To date, there is no publicly available abdominal MRI dataset with voxel-level annotations of multiple organs and structures. Consequently, a segmentation tool for multi-structure segmentation is also unavailable. Methods: We curated a T1-weighted abdominal MRI dataset consisting of 195 patients …

abstract applications arxiv automated clinical cs.cv current diagnosis disease disease diagnosis eess.iv mri segmentation set tool type types

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