Masters Theses

Keywords and Phrases

Cloudy milia-like cysts; Image segmentation; Melanoma; Seborrheic Keratosis; Starry milia-like cysts; Template matching; Medical imaging

Abstract

“Milia-like cysts (MLCs) are dermoscopic structures frequently observed in seborrheic keratoses(SKs), which are the most common type of skin lesions. Diverse appearances of these skin lesions make them difficult to differentiate from melanoma, a deadly type of skin cancer. Classified by size into two main groups, starry MLCs and cloudy MLCs, the presence of these structures in a skin lesion has been known to help differentiate benign lesions from melanoma. Though the presence of cloudy MLCs is not exclusively associated with SKs, they can be a useful tool to differentiate SKs from melanoma. This research study determines the statistical occurrence of MLCs in benign vs. malignant lesions and presents models to differentiate them from the mimics. Various distinct features of these structures such as size, brightness relative to surrounding area, color and shape were used to mark them among the lesions in a training set. A logistic regression model was then used to verify the significant features differentiating these structures from the MLCs and resulted in an area under the receiver operating curve (ROC) of 92.4% for cloudy MLCs and 88.2% for starry MLCs. These models were validated by using a test set”--Abstract, page iv.

Advisor(s)

Moss, Randy Hays, 1953-

Committee Member(s)

Stanley, R. Joe
Kosbar, Kurt Louis

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2013

Journal article titles appearing in thesis/dissertation

  • Cloudy and starry milia-like cysts: How well do they distinguish seborrheic keratoses from malignant melanomas?
  • Template matching for detection of starry milia-like cysts in dermoscopic images
  • Two-stage adaptable template matching for detection of cloudy milia-like cysts in skin lesions

Pagination

xi, 62 pages

Note about bibliography

Includes bibliographic references.

Rights

© 2013 Sneha K. Mahajan, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 12036

Electronic OCLC #

1313117299

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