torchio

This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D.

Automatically segment the liver and liver tumors in CT scans with 3D-UNET

An end to end automatic segmentation tool for MRI files, that can identify lungs, bladder, liver, kidney and bone

Automatic segmentation of the liver and liver tumors in CT scans with 3D U-Net.

Convert a directory of DICOM images to a consolidated NumPy array

My submission to the MICCAI Educational Challenge 2020.

AI-based 3D depth sensing from stereo vision systems

Proyecto Final Integrador Ingeniería Biomédica - Deep Learning para segmentación y clasificación de imágenes médicas

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.