ImageMarkup/isic-archive
International Skin Imaging Collaboration: Melanoma Project
This project helps medical researchers and dermatologists manage and analyze images of skin lesions, specifically for melanoma detection. It takes in digital images of skin and provides tools to organize, view, and potentially annotate them, supporting studies and diagnoses. It is designed for medical professionals and researchers involved in dermatology and cancer research.
No commits in the last 6 months.
Use this if you are a medical researcher or dermatologist needing a system to store, organize, and interact with a collection of skin imaging data, especially for melanoma studies.
Not ideal if you are looking for an automated diagnostic tool or a patient-facing application.
Stars
50
Forks
10
Language
JavaScript
License
Apache-2.0
Category
Last pushed
Apr 19, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ImageMarkup/isic-archive"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Michael-OvO/Skin-Burn-Detection-Classification
Highly Accurate and Efficient Burn detection and Classification trained with Deep Learning Model
Tirth27/Skin-Cancer-Classification-using-Deep-Learning
Classify Skin cancer from the skin lesion images using Image classification. The dataset for the...
aevri/mel
Tools to help identify new and changing moles on the skin with the goal of early detection of...
samhaswon/skin_segmentation
This repository details the various methods I have attempted for skin segmentation.
Thomasbehan/LesNet
LesNet (Lesion Net) is an open-source project for AI-based skin lesion detection. It aims to...