Advances in digital anthropometric body composition assessment: neural network algorithm prediction of appendicular lean mass
Author:
Funder
U.S. Department of Health & Human Services | National Institutes of Health
Publisher
Springer Science and Business Media LLC
Subject
Nutrition and Dietetics,Medicine (miscellaneous)
Link
https://www.nature.com/articles/s41430-023-01396-3.pdf
Reference11 articles.
1. Bennett JP, Liu YE, Quon BK, Kelly NN, Wong MC, Kennedy SF, et al. Assessment of clinical measures of total and regional body composition from a commercial 3-dimensional optical body scanner. Clin Nutr. 2022;41:211–8.
2. Majmudar MD, Chandra S, Yakkala K, Kennedy S, Agrawal A, Sippel M, et al. Smartphone camera based assessment of adiposity: a validation study. NPJ Digit Med. 2022;5:79.
3. Pilgrim LJ. History of photogrammetry in medicine. Australas Phys Eng Sci Med. 1992;15:1–8.
4. McCarthy C, Tinsley GM, Yang S, Irving BA, Wong MC, Bennett JP, et al. Smartphone prediction of skeletal muscle mass: model development and validation in adults. Am J Clin Nutr. 2023;117:794–801.
5. Alzubaidi L, Zhang J, Humaidi AJ, Al-Dujaili A, Duan Y, Al-Shamma O, et al. Review of deep learning: concepts, CNN architectures, challenges, applications, future directions. J Big Data. 2021;8:53.
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