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

An artificial intelligence tool that can help detect melanoma, MIT News

Frontiers Early and accurate detection of melanoma skin cancer using hybrid level set approach

Dermoscopic Image Classification Using Image Processing Technique

Research at Markey Cancer Center

Computer assisted diagnosis of skin cancer: A survey and future recommendations - ScienceDirect

Frontiers Skin Cancer Classification With Deep Learning: A Systematic Review

Skin cancer diagnosis (SCD) using Artificial Neural Network (ANN) and Improved Gray Wolf Optimization (IGWO)

PDF) Detection and Classification of Melanoma Skin Cancer Analysis

Can Skin Check Apps Screen for Skin Cancer?

Dermoscopic Image Classification Using Image Processing Technique

Research on Skin Cancer Cell Detection Using Image Processing

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

AI skin cancer diagnoses risk being less accurate for dark skin – study, Skin cancer

4 Ways to Spot Skin Cancer With Your Smartphone - CNET

SkinVision, Skin Cancer Melanoma Detection App