Steatosis Quantification on Ultrasound Images by a Deep Learning Algorithm on Patients Undergoing Weight Changes.
Adam P HarrisonBowen LiTse-Hwa HsuCheng-Jen ChenWan-Ting YuJennifer TaiLe LuDar-In TaiPublished in: Diagnostics (Basel, Switzerland) (2023)
The best scanning conditions are 3-5 images from the right intercostal view. The algorithm objectively quantified liver steatosis, which correlated with body weight changes and gender.
Keyphrases
- deep learning
- body weight
- patients undergoing
- convolutional neural network
- insulin resistance
- high fat diet
- artificial intelligence
- machine learning
- high fat diet induced
- physical activity
- magnetic resonance imaging
- high resolution
- mental health
- adipose tissue
- body mass index
- type diabetes
- electron microscopy
- metabolic syndrome
- skeletal muscle
- mass spectrometry
- thoracic surgery
- contrast enhanced ultrasound