Keywords and Phrases
Basal Cell Carcinoma; Image Processing; Image Recognition; Sebaceous Hyperplasia; Skin Cancer
“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.
Moss, Randy Hays, 1953-
Stoecker, William V.
Stanley, R. Joe
Electrical and Computer Engineering
M.S. in Electrical Engineering
Missouri University of Science and Technology
viii, 31 pages
© 2017 Jonathan Liao, All rights reserved.
Thesis - Open Access
Electronic OCLC #
Liao, Jonathan, "Automatic discrimination of basal cell carcinoma from sebaceous hyperplasia based on image processing of dermoscopy images" (2017). Masters Theses. 8053.