Skin Cancer Detection Vision and Image Processing Lab

Melanoma is considered the most deadly form of skin cancer and is caused by the development of a malignant tumour of the melanocytes. The objective of the skin cancer detection project is to develop a framework to analyze and assess the risk of melanoma using dermatological photographs taken with a standard consumer-grade camera. The skin cancer detection framework consists of

Skin cancer detection using dermoscope images - ScienceDirect

The diagram for skin cancer detection

Overview - Melanoma Research Program - Mayo Clinic Research

Electronics, Free Full-Text

How to Detect Eye Cancer & How to Treat It

SkinVision: Leading mobile solution to monitor, track and understand skin health - ITC DIA Europe

First melanoma test to predict return of cancer - Press Office - Newcastle University

Dermoscopic Image Classification Using Image Processing Technique

Scope of Image processing and Deep learning in diagnosis of Skin cancer

IJERPH, Free Full-Text

Artificial Intelligence & Melanoma Detection: Closing the Gaps - Melanoma Research Alliance

PDF) Image pre-processing in computer vision systems for melanoma detection

Skin Lesion Classification — An Educational Guide, by SohamMazumder, MICCAI Educational Initiative