Technical Note: Automatic segmentation of CT images for ventral body composition analysis

Author:

Fu Yabo1,Ippolito Joseph E.1,Ludwig Daniel R.1,Nizamuddin Rehan1,Li Harold H.1,Yang Deshan1

Affiliation:

1. Washington University School of Medicine 660 S Euclid Ave, Campus Box 8131 St Louis MO63110 USA

Funder

Agency for Healthcare Research and Quality

National Institute of Biomedical Imaging and Bioengineering

National Heart, Lung, and Blood Institute

Publisher

Wiley

Subject

General Medicine

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1. Automated Visceral and Subcutaneous Fat Segmentation in Computed Tomography;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

2. A systematic review of automated segmentation of 3D computed‐tomography scans for volumetric body composition analysis;Journal of Cachexia, Sarcopenia and Muscle;2023-08-10

3. Abdomen CT multi‐organ segmentation using token‐based MLP‐Mixer;Medical Physics;2022-12-20

4. AI-Supported Comprehensive Detection and Quantification of Biomarkers of Subclinical Widespread Diseases at Chest CT for Preventive Medicine;Healthcare;2022-10-29

5. Prediction of Composition parameters of Cortical bone using Artificial Neutral Network;2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2022-10-13

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