sagar-maru/Melanoma-Detection-Convolutional-Neural-Network
Skin cancer, especially melanoma, is a leading cause of cancer-related deaths. Early detection is critical but often hindered by time and human error. This project builds a machine learning solution using a custom CNN to assist dermatologists in detecting melanoma and other skin conditions from images, improving accuracy and efficiency.
No commits in the last 6 months.
Stars
2
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Jan 07, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/sagar-maru/Melanoma-Detection-Convolutional-Neural-Network"
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...
ImageMarkup/isic-archive
International Skin Imaging Collaboration: Melanoma Project
samhaswon/skin_segmentation
This repository details the various methods I have attempted for skin segmentation.
aevri/mel
Tools to help identify new and changing moles on the skin with the goal of early detection of...