NDLI: On the Classification of Prostate Pathological Images Based on Gleason Score

Content Provider	IEEE Xplore Digital Library
Author	Xiangmin Xu Xiaojie Xing Yusheng Huang Zhuocai Wang
Copyright Year	2008
Description	Author affiliation: Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou (Xiangmin Xu; Xiaojie Xing; Yusheng Huang) \|\| Dept. of Pathology, Guangzhou Army Gen. Hosp., Guangzhou (Zhuocai Wang)
Abstract	Prostate cancer is one of the most frequent cancers caused in men and automated classification results which can be provided as objective references are of great significance. Here we present a study of classification of histological images of prostate based on both morphological features and textural features. At first we get two tissues of prostate cancer which including nuclei, lumen from the image, then a total of 40 morphological and textural features from each digitized images of histological prostate tissue specimens. After feature selection, a support vector machine (SVM) is used to classify the digitized histology slides into two classes: "Gleason score=7". In our experiments the SVM classifier achieving an accuracy of 90.67% within the training set and 74.81% within the test set, respectively.
Starting Page	605
Ending Page	608
File Size	187634
Page Count	4
File Format	PDF
ISBN	9780769535050
DOI	10.1109/IITA.Workshops.2008.244
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Pathology Image segmentation Filters Hospitals USA Councils Support vector machine classification Prostate cancer Information technology Neoplasms
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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