Mexico students create non-invasive technique to detect skin cancer

Mexico students create non-invasive technique to detect skin cancer

Published August 07, 2016/
EFE


The students created "a computing system that analyzes and processes photos taken through a dermatoscope, which permits the disease to be identified in its early stages," the note said.

Basal cell carcinoma, or BCC, is a skin cancer that generally appears in the form of reddish stains on the face and scalp, grows slowly, seldom metastasizes but has a local destructive capability that can cause extensive damage to tissue, cartilage, and occasionally, bones.

Students Francisco Araujo, Juan Antonio Gonzalez and Cristian Olvera used pattern-recognition algorithms with which their prototype successfully "identifies the most common properties of BCC in order to select only those images that show traces of the disease."

After pre-processing the image, elements remain that are irrelevant to the characteristics looked for, so they used techniques for analyzing objects in the images along with reduction algorithms to get an effective segmentation.

More:
http://latino.foxnews.com/latino/news/2016/08/07/mexico-students-create-non-invasive-technique-to-detect-skin-cancer/

(This story originated with Spain's E.F.E. and was reprinted by Fox "News.&quot