Successfully developed the system for early detection of skin cancer

Experts and fellows at the National Polytechnic Institute (IPN) have successfully developed a system for early detection of basal cell carcinoma (BCC) - skin cancer - identified by red spots on the head. , face and other body parts.

The system consists of Dermatoscopy image analysis and processing computers - a tool that captures the important morphological structures of the upper and lower surface wounds of the skin - performed.

Common signs of BCC are the appearance of small red, pink or pearl tumors.

By identification algorithms, the system will identify the most common characteristics of skin cancer and give early diagnosis results.

Scientists apply image analysis techniques and minimizing algorithms to analyze 5 parameters related to skin cancer: branch points, area, perimeter, length and color.

The diagnosis results of the system will help specialists in pre-diagnosing skin cancer effectively and reliably, avoiding the need for a biopsy for patients without identifiable characteristics. disease on.

Common signs of BCC are the appearance of small red, pink or pearl tumors. Tumors are usually domed.

BCC develops slowly, rarely metastasizes but has the ability to destroy and damage epithelial, cartilage and bone.