YFLooi/melanomaDetector

DL4J machine learning model to predict chances that skin defects are melanoma, seborrheic keratosis, or nevus (moles). Model used is YOLOv2 modified to predict the aforementioned 3 output classes.

11
/ 100
Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 2 / 25

How are scores calculated?

Stars

—

Forks

1

Language

Java

License

MIT

Category

skin-lesion-diagnosis

Last pushed

Nov 18, 2020

Commits (30d)

0

GitHub
Skin Lesion Diagnosis · 117 frameworks

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/YFLooi/melanomaDetector"

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

50

Tirth27/Skin-Cancer-Classification-using-Deep-Learning

Classify Skin cancer from the skin lesion images using Image classification. The dataset for the...

48

ImageMarkup/isic-archive

International Skin Imaging Collaboration: Melanoma Project

41

samhaswon/skin_segmentation

This repository details the various methods I have attempted for skin segmentation.

41

aevri/mel

Tools to help identify new and changing moles on the skin with the goal of early detection of...

41

Explore ML Frameworks

All categories Trending ML Framework directory Insights