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

Melanoma Skin Cancer Detection based on Image Processing

Diagnostics, Free Full-Text

Melanoma Research Foundation

Sensors, Free Full-Text

Dermatologist-level classification of skin cancer with deep neural networks

Deep Learning-Based Classification for Melanoma Detection Using XceptionNet

PDF) Detection and Classification of Melanoma Skin Cancer Analysis

Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment, Journal of Hematology & Oncology

Top 19 Applications Of Deep Learning and Computer Vision In Healthcare

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

Diagnostics, Free Full-Text

Machine Vision-Based Expert System for Automated Skin Cancer Detection

Dermoscopy Image Analysis (Digital Imaging and Computer Vision): 9781138892873: Medicine & Health Science Books @

Skin cancer detection using non-invasive techniques - RSC Advances (RSC Publishing) DOI:10.1039/C8RA04164D

Skin cancer detection using ensemble of machine learning and deep learning techniques