Estimating Body Weight From Measurements From Different Single-Slice Computed Tomography Levels: An Evaluation of Total Cross-Sectional Body Area Measurements and Deep Learning.

Journal: Journal of computer assisted tomography

PMID: 38438330

Abstract

OBJECTIVE: This study aimed to evaluate the correlation between the estimated body weight obtained from 2 easy-to-perform methods and the actual body weight at different computed tomography (CT) levels and determine the best reference site for estimating body weight.

Authors

Shota Ichikawa

Graduate School of Health Sciences, Hokkaido University, Kita-12, Nishi-5, Kita-ku, Sapporo, 060-0812, Japan.
Hiroyuki Sugimori

Faculty of Health Sciences, Hokkaido University, Sapporo 060-0812, Japan.

Keywords

Adult Aged Aged, 80 and over Body Weight Deep Learning Female Humans Male Middle Aged Retrospective Studies Tomography, X-Ray Computed Young Adult

External Resources

View on PubMed Access via DOI PubMed (38438330)

Estimating Body Weight From Measurements From Different Single-Slice Computed Tomography Levels: An Evaluation of Total Cross-Sectional Body Area Measurements and Deep Learning.

Abstract

Authors

Keywords

External Resources

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