Results 41 to 50 of about 102,612 (175)

Enhanced Muscle and Fat Segmentation for CT-Based Body Composition Analysis: A Comparative Study [PDF]

open access: yesarXiv
Purpose: Body composition measurements from routine abdominal CT can yield personalized risk assessments for asymptomatic and diseased patients. In particular, attenuation and volume measures of muscle and fat are associated with important clinical outcomes, such as cardiovascular events, fractures, and death. This study evaluates the reliability of an
arxiv  

How Do the Abdominal Muscles Change during Hypopressive Exercise? [PDF]

open access: yesMedicina (Kaunas), 2021
Da Cuña-Carrera I   +3 more
europepmc   +1 more source

Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation [PDF]

open access: yesarXiv
Accurate training labels are a key component for multi-class medical image segmentation. Their annotation is costly and time-consuming because it requires domain expertise. This work aims to develop a dual-branch network and automatically improve training labels for multi-class image segmentation.
arxiv  

Immediate Effects of Whole-Body versus Local Dynamic Electrostimulation of the Abdominal Muscles in Healthy People Assessed by Ultrasound: A Randomized Controlled Trial. [PDF]

open access: yesBiology (Basel), 2023
Álvarez-Barrio L   +5 more
europepmc   +1 more source

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