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ZENODO
Software . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
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Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 12 Jul 2023Embargo end date: 01 May 2025Publisher:Zenodo
Authors: Yang, Qi; Yu, Xin; Bao, Shunxing; Landman, Bennett;

doi: 10.5281/zenodo.15319954 , 10.5281/zenodo.15319953

Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training

Abstract

Singularity repository for Qi Yang, Xin Yu, Ho Hin Lee, Leon Y. Cai, Kaiwen Xu, Shunxing Bao, Yuankai Huo, Ann Zenobia Moore, Sokratis Makrogiannis, Luigi Ferrucci, Bennett A. Landman, “Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training", Journal of Medical Imaging 10.4 (2023): 044001-044001. For usage details—including commands, expected inputs, and outputs—please refer to the primary GitHub repository at DA_CT_muscle_seg

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Keywords

Computed tomography

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average