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 non-invasive techniques - RSC Advances (RSC Publishing) DOI:10.1039/C8RA04164D

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PDF] Computer Vision for Skin Cancer Diagnosis and Recognition using RBF and SOM

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Human–computer collaboration for skin cancer recognition

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

Review on Automated Skin Cancer Detection Using Image Processing Techniques

Revolutionizing skin cancer care through data

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Dermatologist-level classification of skin cancer with deep neural networks

Detecting Melanoma Skin Cancer with Computer Vision

Skin cancer detection using non-invasive techniques - RSC Advances

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GitHub - gscdit/Breast-Cancer-Detection: Breast Cancer Detection Using Machine Learning