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

Frontiers Identifying the role of vision transformer for skin cancer—A scoping review

Revolutionizing skin cancer care through data

PDF) Early Detection and Classification of Melanoma Skin Cancer

Diagnostics, Free Full-Text

PDF) Survey on Melanoma Skin Cancer Detection Methods International Journal of Scientific Research in Computer Science, Engineering and Information Technology IJSRCSEIT and Dr. Manikandan L. C

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

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

Artificial intelligence used to identify skin cancer

Dermoscopic Image Classification Using Image Processing Technique

Comparative Analysis of Skin Cancer (Benign vs. Malignant) Detection Using Convolutional Neural Networks

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

Home, Vision and Image Processing Lab

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

Diagnostics, Free Full-Text