NDLI: Improving of colon cancer cells detection based on Haralick's features on segmented histopathological images

Content Provider	IEEE Xplore Digital Library
Author	Chaddad, A. Tanougast, C. Dandache, A. Al Houseini, A. Bouridane, A.
Copyright Year	2011
Description	Author affiliation: School of Computing, Engineering & Information Sciences, Northumbria University, Newcastle, United Kingdom (Bouridane, A.) \|\| LICM Laboratory, Paul Verlaine University, 7 Rue Marconi, Technopôle 57070 Metz, France (Chaddad, A.; Tanougast, C.; Dandache, A.) \|\| Faculty of Science, Lebanese university, Beirut, Lebanon (Al Houseini, A.)
Abstract	Image analysis in cancer pathology applications has evolved considerably in the last years [1]. The areas concerned were particularly those in which the diagnosis was based on the medical image processing and analysis. Few studies have successfully investigated the automatic classification of colonic pathology images if they contain healthy cells or cancerous cells. The objective of this work is the multispectral images classification of healthy and cancerous cells in order to accelerate the operations of classification between different types of cancerous cells. Our detection approach was derived from the "Snake" method but using a progressive division of the dimensions of the image to achieve faster segmentation. The time consumed during segmentation was decreased to more than 50%. We extract several Haralick's coefficients to detect the type of cells were made segmentation are applied to the multispectral image. The experimental results obtained on several multispectral images show that the method is efficient for the classification of cancer cells of type Carcinoma (Ca), Intraepithelial Neoplasia (IN) and Benign Hyperplasia (BH).
Starting Page	87
Ending Page	90
File Size	539036
Page Count	4
File Format	PDF
ISBN	9781457720581
e-ISBN	9781457720598
DOI	10.1109/ICCAIE.2011.6162110
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-04
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Correlation Microscopy Segmentation Entropy Colon Image Analysis Multi-Spectral Image Cancer Cell Classification Haralick's Features Cancer Biomedical imaging
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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