Intelligent Medical Diagnosis System Using Weighted Genetic and New Weighted Fuzzy C-Means Clustering Algorithm

2014 ◽  
pp. 213-220
Author(s):  
P. S. Jeetha Lakshmi ◽  
S. Saravan Kumar ◽  
A. Suresh
Keyword(s):  
Medical Diagnosis ◽  
Clustering Algorithm ◽  
Diagnosis System ◽  
Fuzzy C Means ◽  
Fuzzy C Means Clustering ◽  
Medical Diagnosis System

Multiple fuzzy c-means clustering algorithm in medical diagnosis

2015 ◽  
Vol 23 (s2) ◽  
pp. S519-S527 ◽  
Author(s):  
Yanping Wu ◽  
Huilong Duan ◽  
Shufeng Du
Keyword(s):  
Medical Diagnosis ◽  
Clustering Algorithm ◽  
Fuzzy C Means ◽  
Fuzzy C Means Clustering

scholarly journals Automatic measurement of traditional Chinese costume from its silhouette through Fuzzy c-means clustering method

2020 ◽  
Vol 15 ◽  
pp. 155892502097832
Author(s):  
Jiaqin Zhang ◽  
Jingan Wang ◽  
Le Xing ◽  
Hui’e Liang
Keyword(s):  
Industrial Application ◽  
Clustering Algorithm ◽  
Color Space ◽  
Automatic Measurement ◽  
Feature Point ◽  
Feature Points ◽  
Point Location ◽  
Fuzzy C Means ◽  
Fuzzy C Means Clustering ◽  
Environmental Robustness

As the precious cultural heritage of the Chinese nation, traditional costumes are in urgent need of scientific research and protection. In particular, there are scanty studies on costume silhouettes, due to the reasons of the need for cultural relic protection, and the strong subjectivity of manual measurement, which limit the accuracy of quantitative research. This paper presents an automatic measurement method for traditional Chinese costume dimensions based on fuzzy C-means clustering and silhouette feature point location. The method is consisted of six steps: (1) costume image acquisition; (2) costume image preprocessing; (3) color space transformation; (4) object clustering segmentation; (5) costume silhouette feature point location; and (6) costume measurement. First, the relative total variation model was used to obtain the environmental robustness and costume color adaptability. Second, the FCM clustering algorithm was used to implement image segmentation to extract the outer silhouette of the costume. Finally, automatic measurement of costume silhouette was achieved by locating its feature points. The experimental results demonstrated that the proposed method could effectively segment the outer silhouette of a costume image and locate the feature points of the silhouette. The measurement accuracy could meet the requirements of industrial application, thus providing the dual value of costume culture research and industrial application.

scholarly journals An intelligent multimodal medical diagnosis system based on patients’ medical questions and structured symptoms for telemedicine

2021 ◽  
Vol 23 ◽  
pp. 100513
Author(s):  
Hossam Faris ◽  
Maria Habib ◽  
Mohammad Faris ◽  
Haya Elayan ◽  
Alaa Alomari
Keyword(s):  
Medical Diagnosis ◽  
Diagnosis System ◽  
Medical Diagnosis System
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