ISIC 2019 - Skin Lesion Analysis Towards Melanoma Detection
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Updated
Nov 24, 2020 - HTML
ISIC 2019 - Skin Lesion Analysis Towards Melanoma Detection
ISIC Challenge submission platform.
Automated classification system based on deep learning to predict the presence of melanoma skin cancer.
This project is a web application for detecting skin cancer using object detection techniques. It leverages the YOLOv8 model to identify various types of skin cancer from uploaded images or videos, as well as through live webcam feeds.
MedTech is a website where with the help of highly accurate ML models users can test if they have Melanoma Skin Cancer. Users can also create profiles and save their data in an encrypted format.
Poster and abstract for Melanoma World Conference 2021
Add a description, image, and links to the skin-cancer topic page so that developers can more easily learn about it.
To associate your repository with the skin-cancer topic, visit your repo's landing page and select "manage topics."