SkinHealthChecker App detects possible melanoma skin cancer using OpenCV and Android camera.

Skin cancer classification using transfer learning

Skin cancer detection project

[Built during technical internship at SAS Institute, May 2016 - Aug 2016] Created automated skin cancer detection software using image analysis, feature extraction, and statistical modeling that analyzes images of skin lesions to detect possibly cancerous growths. Presented research and algorithms at the international JMP Discovery Summit (also …

Skin cancer classification using Inceptionv3

Skin Cancer Detection using AI and OpenCV

Source code for 'ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection' - Task 3 (Classification)

Skin lesion detection from dermoscopic images using Convolutional Neural Networks

Skin lesion segmentation is one of the first steps towards automatic Computer-Aided Diagnosis of skin cancer. Vast variety in the appearance of the skin lesion makes this task very challenging. The contribution of this paper is to apply a power foreground extraction technique called GrabCut for automatic skin lesion segmentation in HSV color spa…

A TensorFlow implementation of the Skin Cancer Detection task based on Convolutional Neural Networks

Skin analysis and online assistance 🏥

🔬 Using hyperspectral imaging to detect and classify skin lesions

Classifying a skin lesion as malignant melanoma or benign.

This repository contains skin cancer lesion detection models. These are trained on a sequential and a custom ResNet model

Assignments and Projects of CO410 AI and Expert Systems Course at NITK Surathkal