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, Vision and Image Processing Lab
Computer assisted diagnosis of skin cancer: A survey and future recommendations - ScienceDirect
Skin cancer detection using ensemble of machine learning and deep learning techniques
How to Detect Eye Cancer & How to Treat It
Dermatologist-level classification of skin cancer with deep neural networks
Frontiers Identifying the role of vision transformer for skin cancer—A scoping review
InSiNet: a deep convolutional approach to skin cancer detection and segmentation
Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges - ScienceDirect
Researchers confirm the link between balding and skin cancer
Comparative study and analysis on skin cancer detection using machine learning and deep learning algorithms
Artificial intelligence used to identify skin cancer
