Application of fuzzy C-means clustering method in the analysis of severe medical images-Reference-Cited by-同舟云学术

Application of fuzzy C-means clustering method in the analysis of severe medical images

Published:2020-04-30 Issue:4 Volume:38 Page:3635-3645
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Ning Yuwen¹,Shi Xiaoyuan²,Yin Jingong¹,Xie Duowen³

Affiliation:

1. Department of Military Preventive Medicine, The Fourth Military Medical University, Xi’an, Shaanxi, China

2. Department of Medical Record, Lanzhou University Second Hospital, Lanzhou, Gansu, China

3. Department of Intensive Care Unit/Medical Record2, Lanzhou University Second Hospital, Lanzhou, Gansu, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference20 articles.

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2. A Battery sorting scheme based on fuzzy c-mean clustering, taking advantage of the flatness of discharge voltage curve;Rui;Automotive Engineering,2017

3. Novel adaptive clustering algorithms based on a probabilistic similarity measure over atanassov intuitionistic fuzzy set;Danish Lohani;IEEE Transactions on Fuzzy Systems,2018

4. Fuzzy C-mean clustering based inference system for saltwater intrusion processes prediction in coastal aquifers;Roy;Water Resources Management,2017

5. Image Segmentation Method Using Fuzzy C Mean Clustering Basedon Multi-Objective Optimization;Chen;JournalofPhysics:Conference Series,2018

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