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Automatic detection of region of interest and center point of left ventricle using watershed segmentation

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Automatic detection of region of interest and center point of left ventricle using watershed segmentation

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Title: Automatic detection of region of interest and center point of left ventricle using watershed segmentation
Author: Cheng, Jierong; Foo, Say Wei; Krishnan, Shankar M.
Copyright year: 2005
Abstract: In the detection of the boundary of the left ventricle from echocardiographic images, the crucial step is to determine the region of interest (ROI) or the center point (CP) of the left ventricle. In this paper, a new algorithm is proposed for automatic detection of the ROI and CP of the left ventricle from echocardiographic images. The method makes use of morphological operations and watershed segmentation. No prior assumption of the approximate location is required and no human intervention is necessary for the proposed approach hence making it most suitable for automatic operation.
Subject: DRNTU::Engineering::Electrical and electronic engineering
Type: Conference Paper
Conference name: IEEE International Symposium on Circuits and Systems (2005 : Kobe, Japan)
Rights: IEEE International Symposium on Circuits and Systems © 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site.
Version: Accepted version

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