Automated detection and delineation of hepatocellular carcinoma on multiphasic contrast-enhanced MRI using deep learning.
Khaled BousabarahBrian LetzenJonathan TeferaLynn SavicIsabel SchobertTodd SchlachterLawrence H StaibMartin KocherJulius ChapiroMingDe LinPublished in: Abdominal radiology (New York) (2020)
Our DCNN approach can segment the liver and HCCs automatically. This could enable a more workflow efficient and clinically realistic implementation of LI-RADS.
Keyphrases
- contrast enhanced
- deep learning
- diffusion weighted
- magnetic resonance imaging
- magnetic resonance
- computed tomography
- diffusion weighted imaging
- artificial intelligence
- convolutional neural network
- primary care
- machine learning
- healthcare
- loop mediated isothermal amplification
- label free
- quality improvement
- ion batteries
- electronic health record
- high throughput
- sensitive detection