Gender-specific data-driven adiposity subtypes using deep-learning-based abdominal CT segmentation.
Xiantong ZouXianghai ZhouYufeng LiQi HuangYuan NiRuiming ZhangFang ZhangXin WenJiayu ChengYanping YuanYue YuChengcheng GuoGuotong XieXiantong ZouPublished in: Obesity (Silver Spring, Md.) (2023)
This study identified gender-specific abdominal adiposity subgroups, which may help clinicians to distinguish diabetes risk quickly and automatically.
Keyphrases
- deep learning
- insulin resistance
- convolutional neural network
- type diabetes
- mental health
- artificial intelligence
- cardiovascular disease
- computed tomography
- weight gain
- palliative care
- machine learning
- magnetic resonance imaging
- contrast enhanced
- dual energy
- adipose tissue
- metabolic syndrome
- magnetic resonance
- body mass index
- positron emission tomography