Development and Validation of a Deep Learning System for Segmentation of Abdominal Muscle and Fat on Computed Tomography.

Hyo Jung Park Youngbin Shin Jisuk Park Hyo Sang Kim In Seob Lee Dong Woo Seo Jimi Huh Tae Young Lee Taeyong Park Jeongjin Lee Kyoung Won Kim

Published in: Korean journal of radiology (2020)

The fully convolutional network-based segmentation system exhibited high performance and accuracy in the automatic segmentation of abdominal muscle and fat on CT images.

Keyphrases

deep learning
convolutional neural network
computed tomography
artificial intelligence
adipose tissue
skeletal muscle
positron emission tomography
dual energy
machine learning
contrast enhanced
image quality
magnetic resonance imaging
fatty acid