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

A Novel Vision Transformer Model for Skin Cancer Classification

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

Melanoma Skin Cancer Detection based on Image Processing

PDF) Detection and Classification of Melanoma Skin Cancer Analysis

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Home, Vision and Image Processing Lab

PDF) Detection and Classification of Melanoma Skin Cancer Analysis

US FDA clears DermaSensor's skin cancer detection device

Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges - ScienceDirect

Melanoma Skin Cancer Detection Using Image Processing and Machine Learning Techniques

AI outperformed every dermatologist in dermoscopic melanoma diagnosis, using an optimized deep-CNN architecture with custom mini-batch logic and loss function

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

22 research highlights from the past year