PC-based medical image analysis system for brain CT hemorrhage area extraction

Da Chuan Cheng, Kuo-Sheng Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

A PC based medical image analysis system for extracting the brain CT hemorrhage area is developed. Two kinds of segmentation method are investigated, fuzzy Hopfield neural network (FHNN) and possibilistic neural network (PHNN), for classifying the histogram of hemorrhage images and the near optimal threshold values can then be found. In addition, a function for professional doctors to extract the hematoma area is also included. The manual extraction areas are compared to those of the automatic extraction system and the average accuracy can be estimated. The fuzzy Hopfield neural network is a neural network based classification method for fuzzy c-means algorithm. It was proposed for automatic CT and MRI image segmentation to extract the region of interest (ROI). In addition, we develop a new algorithm for classification, which is called as the possibilistic Hopfield neural network. It is developed by imbedding the objective function of possibilistic c-means (PCM) into the energy function of a modified Hopfield neural network. Thus, the near optimal solution can be found by minimizing the energy function.

Original languageEnglish
Title of host publicationProceedings of the IEEE Symposium on Computer-Based Medical Systems
Editors Anon
Pages240-245
Number of pages6
DOIs
Publication statusPublished - 1998 Jan 1
EventProceedings of the 1998 11th IEEE Symposium on Computer-Based Medical Systems - Lubbock, TX, USA
Duration: 1998 Jun 121998 Jun 14

Publication series

NameProceedings of the IEEE Symposium on Computer-Based Medical Systems
ISSN (Print)1063-7125

Other

OtherProceedings of the 1998 11th IEEE Symposium on Computer-Based Medical Systems
CityLubbock, TX, USA
Period98-06-1298-06-14

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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