Automated body composition analysis of clinically acquired computed tomography scans using neural networks.
Sign Up to like & getrecommendations! Published in 2020 at "Clinical nutrition"
DOI: 10.1016/j.clnu.2020.01.008
Abstract: BACKGROUND & AIMS The quantity and quality of skeletal muscle and adipose tissue is an important prognostic factor for clinical outcomes across several illnesses. Clinically acquired computed tomography (CT) scans are commonly used for quantification… read more here.
Keywords: network; body composition; analysis; clinically acquired ... See more keywords
Validation and estimation of spleen volume via computer-assisted segmentation on clinically acquired CT scans
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Medical Imaging"
DOI: 10.1117/1.jmi.8.1.014004
Abstract: Abstract. Purpose: Deep learning is a promising technique for spleen segmentation. Our study aims to validate the reproducibility of deep learning-based spleen volume estimation by performing spleen segmentation on clinically acquired computed tomography (CT) scans… read more here.
Keywords: segmentation clinically; clinically acquired; volume; estimation ... See more keywords