Deep learning enables automated scoring of liver fibrosis stages

• Main Authors: Yu Y., Wang J., Ng C.W., Ma Y., Mo S., Fong E.L.S., Xing J., Song Z., Xie Y., Si K., Wee A., Welsch R.E., So P.T.C., Yu H.
• Other Authors: BIOMEDICAL ENGINEERING
• Format: Article
• Published: Nature Publishing Group 2020
• Subjects: biological marker; collagen; algorithm; animal; artificial neural network; biopsy; diagnostic imaging; image processing; liver cirrhosis; machine learning; male; metabolism; microscopy; nuclear magnetic resonance imaging; pathology; procedures; rat; reproducibility; x-ray computed tomography; Algorithms; Animals; Biomarkers; Biopsy; Collagen; Deep Learning; Diagnostic Imaging; Image Processing, Computer-Assisted; Liver Cirrhosis; Machine Learning; Magnetic Resonance Imaging; Male; Microscopy; Neural Networks (Computer); Rats; Reproducibility of Results; Tomography, X-Ray Computed
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/174199

10.1038/s41598-018-34300-2