Masters Theses

Keywords and Phrases

Medical imaging; Intradermal Nevi; Polypoid; Melanoma; Cutaneous Polyps


“Earlier detection of malignant melanoma can save lives. Automatic in-vivo methods of melanoma detection including smart-phone applications are now available, but specificity is low, i.e. too many benign lesions are detected as possible melanomas. Polypoids, elevated and rounded lesions are one class of benign lesions. These raised lesions with piecewise circular borders, predominantly intradermal nevi and cutaneous polyps (IDNs), are always benign. Variegated coloring present in polypoid lesions can lead physicians to perform an unneeded biopsy. Contact dermatoscope plates with gel squash these lesions, leaving a “squash sign” marker of benignancy which can be automatically detected. We present a method to automatically recognize the squash sign in raised benign skin lesions. This method is a two-stage process. First an algorithm is implemented to narrow down upon the region of interest which is the area where the squash sign may possibly be present in the lesion. In the second stage, image features are extracted from the lesion as a whole and the region of interest described above, to mathematically model these benign lesions. The data set for training and testing set consisted of a variety of images containing intradermal nevi and cutaneous polyps, malignant melanomas and other benign lesions. All the images had a spatial resolution of 1024 by 768. It was observed that the mathematical model was able to recognize over 64% of the intradermal nevi and cutaneous polyps on both the training and testing sets. This method has the potential to reduce the number of false diagnoses in automatic melanoma detection devices”--Abstract, page iv.


Moss, Randy Hays, 1953-

Committee Member(s)

Stanley, R. Joe
Shrestha, Bijaya


Electrical and Computer Engineering

Degree Name

M.S. in Computer Engineering


Missouri University of Science and Technology

Publication Date

Spring 2013

Journal article titles appearing in thesis/dissertation

  • Automatic Detection of Polypoid Skin Lesions: The "Squash Sign"


ix, 39 pages

Note about bibliography

Includes bibliographic references (pages 37-38).


© 2013 Saurabh G. Karnik, All rights reserved.

Document Type

Thesis - Open Access

File Type




Thesis Number

T 12022

Electronic OCLC #