With the unprecedented developments in deep learning, automatic segmentation of main abdominal organs seems to be a solved problem as state-of-the-art (SOTA) methods have achieved comparable results with inter-rater variability on many benchmark datasets. However, most of the existing abdominal data...
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 10 vom: 01. Okt., Seite 6695-6714
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| 1. Verfasser: |
Ma, Jun
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Yao,
Gu, Song,
Zhu, Cheng,
Ge, Cheng,
Zhang, Yichi,
An, Xingle,
Wang, Congcong,
Wang, Qiyuan,
Liu, Xin,
Cao, Shucheng,
Zhang, Qi,
Liu, Shangqing,
Wang, Yunpeng,
Li, Yuhui,
He, Jian,
Yang, Xiaoping |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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