RECOD Titans participation at the ISBI 2017 challenge - Part 3

Melanoma Detection via Deep Convolutional Neural Network (CNN)

Melanoma detector backend size. Using python image recognition.

Detecting Melanoma (skin cancer) using CNNs

Pre-processing technique called DullRazor for the detection and removal of hairs on dermoscopic images.

Image pre-processing technique to attenuate shadows in samples with non-uniform lighting.

Melanoma Detection Tool : REST APIs

Implementation for MICCAI DART paper: 'Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification'

Implementation for ICML 2022 paper: 'Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification'

Codes for paper: Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images (NeurIPS 2022, Cancer 2024)

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

Detecting melanomas in images of skin lesions using supervised contrastive learning, and image denoising as a pretext task.

Detection of dermoscopic structures for melanoma diagonsis

Aplicación de clasificación de imágenes de lesiones pigmentadas (nevus y melanomas).

Official PyTorch implementation of ReSeT

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