Source code for the paper 'Data Augmentation for Skin Lesion Analysis' — 🏆 Best Paper Award at the ISIC Skin Image Analysis Workshop @ MICCAI 2018

• UpdatedApr 4, 2019
• Python

RECOD Titans participation at the ISBI 2017 challenge - Part 3

• UpdatedOct 3, 2017
• Python

Recognizing and localizing melanoma from other skin disease

• UpdatedJul 21, 2024
• Jupyter Notebook

Datasets for skin image analysis

• UpdatedDec 2, 2024

Automatic Skin Lesion Segmentation and Melanoma Detection: Transfer Learning approach with U-Net and DCNN-SVM

• UpdatedApr 30, 2023
• Jupyter Notebook

Detecting skin cancer in encrypted images with TensorFlow

• UpdatedJun 17, 2023
• Jupyter Notebook

SkinHealthChecker App detects possible melanoma skin cancer using OpenCV and Android camera.

• UpdatedNov 10, 2017
• Java

🎗 This is an Android app to detect melanoma skin cancer using tensorflow mobile.

• UpdatedSep 29, 2020
• Java

Web crawler for DermNet (http://www.dermnet.com/) - one of the greatest data resources for skin diseases.

• UpdatedMay 10, 2020
• Python

3-layered approach to detecting cancer, melanoma and allergies with state-of-the-art Tensorflow models, integrated into an app with exciting features using Flutter Android development framework.

• UpdatedDec 5, 2020
• Jupyter Notebook

ISIC 2019 - Skin Lesion Analysis Towards Melanoma Detection

• UpdatedNov 24, 2020
• HTML

This project aims to use a convolutional neural network (CNN) to classify 7 classes of skin lesions.

• UpdatedNov 22, 2022
• Jupyter Notebook

Deep Neural network using CNN pre-trained model to visually diagnose between 3 types of skin lesions

• UpdatedJul 6, 2023
• Jupyter Notebook

Matthews Correlation Coefficient Loss implementation for image segmentation.

• UpdatedFeb 11, 2021
• Jupyter Notebook

Yuval and nosound models and write-up for Kaggle's competition "SIIM-ISIC Melanoma Classification"

• UpdatedSep 10, 2020
• Jupyter Notebook

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

• UpdatedMar 17, 2025
• Python

Skin cancer is the most prevalent type of cancer. Melanoma, specifically, is responsible for 75% of skin cancer deaths, despite being the least common skin cancer. In this project we aim to analyze and identify melanoma in lesion images.

• UpdatedAug 10, 2020
• Jupyter Notebook

This repository focuses on two machine learning projects in the healthcare domain.

• UpdatedJul 4, 2023
• Python

Comparison of three techniques of melanoma screening.

• UpdatedOct 1, 2016
• MATLAB

This model is designed to augment data, train the CNN, and, test the performance.

• UpdatedJul 22, 2019
• Python