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

Da Chuan Cheng, Kuo-Sheng Cheng

研究成果: Conference contribution

10 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題Proceedings of the IEEE Symposium on Computer-Based Medical Systems
編輯 Anon
頁面240-245
頁數6
DOIs
出版狀態Published - 1998 一月 1
事件Proceedings of the 1998 11th IEEE Symposium on Computer-Based Medical Systems - Lubbock, TX, USA
持續時間: 1998 六月 121998 六月 14

出版系列

名字Proceedings of the IEEE Symposium on Computer-Based Medical Systems
ISSN(列印)1063-7125

Other

OtherProceedings of the 1998 11th IEEE Symposium on Computer-Based Medical Systems
城市Lubbock, TX, USA
期間98-06-1298-06-14

All Science Journal Classification (ASJC) codes

  • 放射學、核子醫學和影像學
  • 電腦科學應用

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