NDLI: Automated classification of cancerous textures in histology images using quasi-supervised learning algorithm

Content Provider	IEEE Xplore Digital Library
Author	Önder, D. Sarıoğlu, S. Karaçalı, B.
Copyright Year	2010
Description	Author affiliation: Tibbi Patoloji Anabilim Dali, Dokuz Eylül Üniversitesi Tip Fakültesi (Sarıoğlu, S.) \|\| Elektrik ve Elektronik Mühendisligi Bölümü, Izmir Yüksek Teknoloji Enstitüsü (Önder, D.; Karaçalı, B.)
Abstract	The aim of this work is to perform automated texture classification of histology slide images in health and cancerous conditions using quasi-supervised statistical learning method. Tissue images were acquired from histological slides of human colon and were seperated into two groups in terms of normal and disease conditions. Texture feature vectors corresponding to tissue segments of each image were calculated using co-occurrence matrices. Different texture regions were determined by the quasi-supervised statistical learning method using texture features of normal and cancerous groups.
Starting Page	1
Ending Page	4
File Size	508020
Page Count	4
File Format	PDF
ISBN	9781424463800
e-ISBN	9781424463824
DOI	10.1109/BIYOMUT.2010.5479863
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-21
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	quasi-supervised statistical learning Image segmentation Statistical learning Humans co-occurrence matrice Colon Texture classification Diseases
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	Mr. Siddhartha Mukherjee siddhartha@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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