NDLI: Semi-Automatic Segmentation of Fibrous Liver Tissue

Content Provider	IEEE Xplore Digital Library
Author	Andruszkiewicz, P. Boldak, C. Jaroszewicz, J.
Copyright Year	2007
Description	Author affiliation: Bialystok Tech. Univ., Bialystok (Andruszkiewicz, P.; Boldak, C.)
Abstract	This article presents a semi-automatic segmentation of the fibrous liver tissue in the in-vivo liver biopsy color images. The segmentation is performed using a tree-based classifier, with decision rules as tree leaves and binary operators (AND, OR) as tree nodes. Several image's local characteristics have been exploited, based on the image points' intensity levels, as well as taken from the texture analysis domain (fractal dimension, FFT, Gabor filters). Their effectiveness concerning quality of extraction has been compared using real clinical images with a manual delimitation given by physicians, as a reference. A user friendly application has been developed which enables the operator to interactively create and store the classifiers. It also offers to a physician a predefined set of the best found classifiers, to allow him an effective work in his every-day practice. The method is semi-automatic - it still leaves to the operator, beside the classifier choice, a possibility to manually (with the mouse) adjust the main parameter (s) which visually, on the fly, grows/shrinks the extracted fibrous region.
Starting Page	255
Ending Page	260
File Size	2048165
Page Count	6
File Format	PDF
ISBN	0769528945
DOI	10.1109/CISIM.2007.57
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Image analysis Biopsy Liver Color Fractals Mice Gabor filters Image texture analysis Classification tree analysis
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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