Mass screening and feature reserved compression in a computer-aided system for mammograms

Sheng Chih Yang, Yi Jhen Lin, Pau Choo Chung, Giu Cheng Hsu, Chien Shen Lo

研究成果: Conference contribution

5 引文 斯高帕斯(Scopus)

摘要

This paper presents a computer-aided prescreening and storage system, which automatically prescreens the mass regions from mammograms and based on the results, performs a progressive compression in the storage. This is performed in two subsystems called mass screening subsystem and mass feature reserved compression subsystem. In the first subsystem, breast region is firstly extracted from images, followed by Gradient Enhancement and Median Filtering. Then, 19 texture features are calculated from 32*32 pixel blocks on the extracted breast region, and suboptimal feature subset is extracted. Then SVM classifier is employed for classifying the regions into mass, breast without masses and background. In the second subsystem, Vector Quantization GHNN (Grey-based Competitive Hopfield neural network) is applied on the three regions with different compression rates according their importance factors so as to reserve important features and simultaneously reduce the size of mammograms for storage efficiency.

原文English
主出版物標題2008 International Joint Conference on Neural Networks, IJCNN 2008
頁面3779-3786
頁數8
DOIs
出版狀態Published - 2008
事件2008 International Joint Conference on Neural Networks, IJCNN 2008 - Hong Kong, China
持續時間: 2008 六月 12008 六月 8

出版系列

名字Proceedings of the International Joint Conference on Neural Networks

Other

Other2008 International Joint Conference on Neural Networks, IJCNN 2008
國家/地區China
城市Hong Kong
期間08-06-0108-06-08

All Science Journal Classification (ASJC) codes

  • 軟體
  • 人工智慧

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