A brain tumor automatic assisted-diagnostic system based on medical image shape analysis.
- Author:
Li-Li WANG
1
;
Jie YANG
Author Information
1. Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Automatic Data Processing;
Bayes Theorem;
Brain Neoplasms;
diagnostic imaging;
pathology;
Diagnosis, Computer-Assisted;
Humans;
Image Processing, Computer-Assisted;
methods;
Radiographic Image Enhancement;
methods;
Radiographic Image Interpretation, Computer-Assisted;
Software Design
- From:
Chinese Journal of Medical Instrumentation
2005;29(2):87-91
- CountryChina
- Language:Chinese
-
Abstract:
This paper covers a brain tumor assisted diagnosis system based on medical image analysis. The system supplements the PACS functions such as display of medical images and database inquiry, segments slice in real-time using the algorithm of fuzzy region competition, extracts shape feature factors such as contour label, compactness, moment, Fourier Descriptor, chord length, radius and other medical data on the brain tumor image with irregular contour feature after segmentation and then feeds to Bayesian network in order to sort the brain tumor for the implementation of automatic assisted diagnosis.
