Grading of HCC Biopsy Images Using Nucleus and Texture Features
Author:
Affiliation:
1. Madanapalle Institute of Technology & Science, Madanapalle, India
2. Alibaba, Hangzhou, China
3. Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan
4. Sing-health Medicine, Taichung, Taiwan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics
Link
http://xplorestaging.ieee.org/ielx7/6221020/10006388/09921287.pdf?arnumber=9921287
Reference26 articles.
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3. Deep learning LI-RADS grading system based on contrast enhanced multiphase MRI for differentiation between LR-3 and LR-4/LR-5 liver tumors
4. Development of an AI system for accurately diagnose hepatocellular carcinoma from computed tomography imaging data
5. Grading liver carcinoma stage analyzing cell biopsy image;lo;IEICE Tech Rep,2020
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