HIGHLIGHTS
- who: Fabian Heinemann from the Inc have published the paper: Deep learning-based quantification of NAFLD/NASH progression in human liver biopsies, in the Journal: Scientific Reports Scientific Reports
- what: The approach was built by following design objectives for easy reproducibility and extension.
SUMMARY
The deep learning-based method described here automates the widely used liver scores on ballooning, inflammation, steatosis, and fibrosis to quantify NAFLD/NASH progression in human liver biopsies. The authors are convinced that in the future, such AI methods will find their way into routine pathological grading . . .
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