LesNet (Lesion Net) is an open-source project for AI-based skin lesion detection. It aims to create a reliable tool and foster community involvement in critical AI problems. Contributions are welcome!

(MICCAI 2022) PyTorch implementation of Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence.

MICCAI 2022 MELA Challenge: Mediastinal Lesion Analysis (3D Detection)

This repository implements a 3D U-Net model for segmenting HIE lesions in neonatal MRI scans, exploring various loss functions including Dice, Dice-Focal, Tversky, Hausdorff Distance, and hybrid loss functions. BONBID-HIE dataset is used for this study.

[Discontinued]

Skin lesion feature extraction and classification.

Dermatoscopic Image Classification: Exploring the classification of cancerous & pre-cancerous lesions.

Software that powers the website portal of the MCL Consortium

app for detect skin cancer with streamlit

Praca magisterska pt. "Segmentacja lezji stwardnienia rozsianego z wykorzystaniem splotowych sieci neuronowych""

Dermatoscopic Image Classification: A repository of a set of ISIC (International Skin Imaging Collaboration) dermatoscopic images.

Code for competition