Masters Theses

Jonathan Liao

Keywords and Phrases

Basal Cell Carcinoma; Image Processing; Image Recognition; Sebaceous Hyperplasia; Skin Cancer

Abstract

“This project focuses on discriminating basal cell carcinoma from sebaceous hyperplasia using image processing techniques. Basal cell carcinoma is a kind of malignant skin cancer that needs to be treated; however, if diagnosed as sebaceous hyperplasia, a benign lesion which is a mimic of basal cell carcinoma, then it may not be treated properly. Through observation, white pouch-like areas within the lesion appear in sebaceous hyperplasia images; whereas in basal cell carcinoma images, white areas tend to be formed in a smashed irregular figure shape. Hence, utilizing image processing techniques to segment these white areas from the images and using the resulting blob mask images to extract features to train a model for classification is the aim of the project to achieve a higher chance of correctly classifying basal cell carcinoma from sebaceous hyperplasia automatically through dermoscopy images”--Abstract, page iii.

Advisor(s)

Moss, Randy Hays, 1953-

Committee Member(s)

Stoecker, William V.
Stanley, R. Joe
Shrestha, Bijaya

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2017

Pagination

viii, 31 pages

Note about bibliography

Includes bibliographic references (page 30).

Rights

© 2017 Jonathan Liao, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 12031

Electronic OCLC #

1313117319

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