A MACHINE LEARNING-BASED APPROCH FOR QUANTITATIVE AND AUTOMATED NON-ALCOHOLIC FATTY LIVER DISEASE (NAFLD)/NON-ALCOHOLIC STEATOHEPATITIS (NASH) ASSESSMENT USING PATHOLOGICAL STAINED SLIDES

A MACHINE LEARNING-BASED APPROCH FOR QUANTITATIVE AND AUTOMATED NON-ALCOHOLIC FATTY LIVER DISEASE (NAFLD)/NON-ALCOHOLIC STEATOHEPATITIS (NASH) ASSESSMENT USING PATHOLOGICAL STAINED SLIDES

Master's

Saved in:
Bibliographic Details
Main Author: XU YUMENG
Other Authors: BIOLOGICAL SCIENCES
Format: Theses and Dissertations
Language:English
Published: 2019
Subjects:
liver biopsy, NAFLD, NASH, machine learning, pathological stained slides, image analysis
Online Access:https://scholarbank.nus.edu.sg/handle/10635/157374
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
Language: English

Internet

https://scholarbank.nus.edu.sg/handle/10635/157374

Similar Items