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A framework for performing textural ...

Sheppard, Mark A.

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A framework for performing textural analysis and classification of prostate ultrasound images.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A framework for performing textural analysis and classification of prostate ultrasound images./
Author:	Sheppard, Mark A.
Description:	76 p.
Notes:	Source: Masters Abstracts International, Volume: 41-04, page: 1120.
Contained By:	Masters Abstracts International41-04.
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1411904
ISBN:	0493953019

A framework for performing textural analysis and classification of prostate ultrasound images.
Sheppard, Mark A.

A framework for performing textural analysis and classification of prostate ultrasound images. - 76 p.

Source: Masters Abstracts International, Volume: 41-04, page: 1120.

Thesis (M.S.)--University of Houston-Clear Lake, 2002.

This thesis presents an integrated framework for performing textural analysis and classification of transrectal ultrasound images of the prostate into clusters potentially representing different tissue areas. The approach is based on the textural feature analysis proposed by Haralick [1] and the Minimum Squared Error classification algorithm [2]. The Java Textural Analysis/Classification (JTAC) application developed as part of this thesis offers significant reduction in run time, potentially allowing more accurate, objective diagnoses to be performed within clinical settings, and allows the investigation of parameters associated with textural and classification processes. The textural analysis algorithms focuses on five of the fourteen features proposed by Haralick including Angular Second Moment, Contrast, Inverse Difference Moment, Entropy, and Sum Entropy. Using this integrated approach, specific results for several cases are presented and general conclusions are developed. The approaches implemented in this framework are outlined in this thesis as well as improvements and areas of future investigation.

ISBN: 0493953019Subjects--Topical Terms:

626642
Computer Science.

A framework for performing textural analysis and classification of prostate ultrasound images.
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008 130614s2002 eng d
020 $a 0493953019
035 $a (UnM)AAI1411904
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040 $a UnM $c UnM
100 1 $a Sheppard, Mark A. $3 1953614
245 1 2 $a A framework for performing textural analysis and classification of prostate ultrasound images.
300 $a 76 p.
500 $a Source: Masters Abstracts International, Volume: 41-04, page: 1120.
500 $a Chair: Liwen Shih.
502 $a Thesis (M.S.)--University of Houston-Clear Lake, 2002.
520 $a This thesis presents an integrated framework for performing textural analysis and classification of transrectal ultrasound images of the prostate into clusters potentially representing different tissue areas. The approach is based on the textural feature analysis proposed by Haralick [1] and the Minimum Squared Error classification algorithm [2]. The Java Textural Analysis/Classification (JTAC) application developed as part of this thesis offers significant reduction in run time, potentially allowing more accurate, objective diagnoses to be performed within clinical settings, and allows the investigation of parameters associated with textural and classification processes. The textural analysis algorithms focuses on five of the fourteen features proposed by Haralick including Angular Second Moment, Contrast, Inverse Difference Moment, Entropy, and Sum Entropy. Using this integrated approach, specific results for several cases are presented and general conclusions are developed. The approaches implemented in this framework are outlined in this thesis as well as improvements and areas of future investigation.
590 $a School code: 1251.
650 4 $a Computer Science. $3 626642
650 4 $a Health Sciences, Radiology. $3 1019076
690 $a 0984
690 $a 0574
710 2 0 $a University of Houston-Clear Lake. $3 1018602
773 0 $t Masters Abstracts International $g 41-04.
790 1 0 $a Shih, Liwen, $e advisor
790 $a 1251
791 $a M.S.
792 $a 2002
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1411904