NDLI: Recognition Algorithm for Prostate Calculus Based on Transition Region and PCA-SVM

Content Provider	IEEE Xplore Digital Library
Author	Xiangmin Xu Yusheng Huang Xiaojie Xing Jianwen Ling
Copyright Year	2009
Abstract	Recognition of prostate calculus is an important step to determine the source of pathological organ, and is of great importance for further diagnosis of prostate cancer. In this paper, due to some tissues are similar to calculus, and prostate calculus usually adheres to other tissues, a recognition algorithm for prostate calculus based on transition region and PCA-SVM is proposed. Firstly, local entropy, Otsu method and morphology are used to extract transition region. Then suspicious calculus regions are segmented from each independent transition region. Finally, taking domain knowledge and texture features of each suspicious calculus into account, a PCA-SVM model is implemented for the automatic prostate calculus recognition. Our experiment result shows that the proposed algorithm for prostate calculus segmentation and recognition has a satisfactory robustness and accuracy.
Starting Page	602
Ending Page	605
File Size	454998
Page Count	4
File Format	PDF
ISBN	9780769538594
DOI	10.1109/IITA.2009.271
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	prostate calculus local entropy texture feature Calculus Entropy SVM transition region Information technology PCA Pathology Image segmentation Biopsy Morphology Robustness Prostate cancer Principal component analysis
Content Type	Text
Resource Type	Article

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