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

RECOD Titans participation at the ISBI 2017 challenge - Part 3

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

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

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

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

This repository houses the code for a streamlit powered web app (capable of running on an AWS `t2.micro` EC2 instance) backed with a CNN fine-tuned on the SIIM ISIC Melanoma Classification Competition data.

Binary classifier of melanoma

Convolutional neural networks for the automatic diagnosis of melanoma: an extensive experimental study

SIIM-ISIC Melanoma Classification, Identify melanoma in lesion images.(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.)

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Deep Pixel-wise supervision and deep mask pixel-wise supervision for skin lesion classification

Convolutional neural networks for the automatic diagnosis of melanoma: an extensive experimental study

Skin Cancer Classification Platform

Deep learning mini-project: diagnose melanoma from skin lesion images.

Skin Cancer Diagnostic Using Deep Learning

Skin lesion (Melanoma) cancer detector

Sistema para classificação de melanoma por aproximação de borda usando AlphaShape