International Skin Imaging Collaboration: Melanoma Project

We proposed an image processing-based method to detect skin diseases. This method takes the digital image of disease effect skin area and then uses image analysis to identify the type of disease. Our proposed approach is simple, fast, and does not require expensive equipment, it can run on any device which has internet access. Just upload the im…

🔍 Skin cancer detection with pretrained CNN ported to front-end.

A web application using Django that allows users to submit skin photos for in-depth analysis. As of right now, it consists of a general classification model for different skin cancer diseases as well as a custom image segmentation model using machine learning to precisely generate a mask for melanoma, a particular kind of skin cancer.

Help people determine if a tumor on their skin is Benign or Malignant

Ai powered web app that can analyze a picture of a skin lesion and instantly classify it into one of 7 types - including cancerous lesions like melanoma.

Learn to differentiate moles from skin cancer with this online quiz.

Mobile app for medical solutions: Skin Cancer - store, analise, predict, remind for update. Blood Work - analise, question with LLM, insight, reminder for update