Study on Diabetes Prediction using Extraction Features from Tongue Image Proposed System using Texture and RFC-Reference-Cited by-同舟云学术

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Study on Diabetes Prediction using Extraction Features from Tongue Image Proposed System using Texture and RFC

Published:2022-10-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon)
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Author:

Lakshmi Choudari¹,Merugula Suneetha¹,Maram Balajee²,Das Smritilekha³

Affiliation:

1. Gitam School of Technology,Department of CSE,Visakhapatnam

2. Chitkara University Institute of Engineering and Technology, Chitkara University,Baddi,Himachal Pradesh

3. Koneru Lakshmaiah Education Foundation,Department of CSE,Vaddeswaram, Guntur,AP,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9972337/9971799/09972617.pdf?arnumber=9972617

Reference24 articles.

1. Kampo Medicine, Based on Traditional Medicine Theory, in Treating Uncured Glossodynia: Efficacy in Five Clinical Cases

2. A novel approach based on computerized image analysis for traditional Chinese medical diagnosis of the tongue

3. Automated Tongue Feature Extraction for ZHENG Classification in Traditional Chinese Medicine

4. A high quality color imaging system for computerized tongue image analysis;Xingzheng Wanga David Zhang b a Shenzhen Key Laboratory of Broadband Network & Multimedia,0

5. Newer Classification System for Fissured Tongue: An Epidemiological Approach

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