Masters Theses

Abstract

"This thesis demonstrates an algorithm to identify the features of radial streaming and pseudopods found in dermoscopy images of malignant melanoma. The algorithm includes preprocessing images using the Principal Component Transform and an application of mathematical techniques to extract the desired features from the lesion image on the basis of color, size, shape, and orientation with respect to the lesion boundary. These identified features are further used to classify the lesion as malignant or benign. The proposed algorithm has produced a diagnostic accuracy of 90.50% for the training set of 31 malignant and 109 benign images and a diagnostic accuracy of 93.52% for the test set of 31 malignant and 110 benign images using Receiver Operating Characteristic curve analysis. The code is implemented in MATLAB® 7.4.0.287 (R2007a)"--Abstract, page iii.

Advisor(s)

Moss, Randy Hays, 1953-

Committee Member(s)

Stanley, R. Joe
Stoecker, William V.

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Computer Engineering

Publisher

University of Missouri--Rolla

Publication Date

Fall 2007

Pagination

viii, 68 pages

Note about bibliography

Includes bibliographical references (page 67).

Rights

© 2007 Sayali Prabhakar Deshpande, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Image processing -- Computer programs
Melanoma -- Diagnosis
Skin -- Cancer -- Diagnosis

Thesis Number

T 9887

Print OCLC #

785409403

Electronic OCLC #

905651213

Link to Catalog Record

Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.

http://merlin.lib.umsystem.edu:80/record=b8531274~S5

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