Detection of sarcopenic obesity and prediction of long-term survival in patients with gastric cancer using preoperative computed tomography and machine learning.
Jaehyuk KimSeung Hee HanHyoung Il KimPublished in: Journal of surgical oncology (2021)
Body composition analysis automated by machine learning predicted long-term survival in patients with gastric cancer.
Keyphrases
- machine learning
- body composition
- computed tomography
- resistance training
- artificial intelligence
- bone mineral density
- big data
- deep learning
- insulin resistance
- metabolic syndrome
- magnetic resonance imaging
- type diabetes
- weight loss
- patients undergoing
- positron emission tomography
- weight gain
- high throughput
- high fat diet induced
- magnetic resonance
- loop mediated isothermal amplification
- adipose tissue
- postmenopausal women
- physical activity
- image quality
- single cell
- quantum dots
- sensitive detection