THRESHOLDING METHODS FOR LESION SEGMENTATION OF BASAL CELL CARCINOMA IN DERMOSCOPY IMAGES

THRESHOLDING METHODS FOR LESION SEGMENTATION OF BASAL CELL CARCINOMA IN DERMOSCOPY IMAGES

Purpose: Automatic border detection is the first and most crucial step for lesion segmentation and can be very challenging, due to several lesion characteristics. There are many melanoma border-detecting algorithms that perform poorly on dermoscopy images of basal cell carcinoma (BCC), which is the...

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Bibliographic Details
Main Author: Kaur, Ravneet
Format: Others
Published: OpenSIUC 2017
Subjects:
Basal cell carcinoma
Dermoscopy
Image analysis
Lesion segmentation
Skin cancer
Thresholding
Online Access:https://opensiuc.lib.siu.edu/dissertations/1367
https://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=2371&context=dissertations

Internet

https://opensiuc.lib.siu.edu/dissertations/1367
https://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=2371&context=dissertations

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