BCDU-Net : Medical Image Segmentation

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Automated lung segmentation in CT

Lung fields segmentation on CXR images using convolutional neural networks.

Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

This is a 3D Slicer extension for segmentation and spatial reconstruction of infiltrated, collapsed, and emphysematous areas in lung CT.

[PR2022] The Code of “EANet: Iterative Edge Attention Network for Medical Image Segmentation”

Lung Segmentation UNet model on 3D CT scans

Lobe Segmentation

Application of U-Net in Lung Segmentation-Pytorch

Lung Segmentation on RSNA Pneumonia Detection Dataset

Sequence-to-sequence image and contour prediction library for longitudinal datasets [PMB'23]

CT Scan utilities. Works with DICOM files.

Official repository for reproducing COVID and Lung segmentation prediction (old version of MEDPSeg)

This repository uses preprocessing technics such as image growing and erosion and dilation to crop the lungs from chest X-ray images.

Keypoint-based Lung Fissure Segmentation with Geometric Deep Learning

Lung segmentation in chest X-ray images using U-Net

This repository is dedicated to the scoring of lung diseases, where we propose a two-step workflow used for segmentation and scoring of lung diseases, including COVID-19

U-Net Small for fast, accurate lung CT segmentation, implemented in PyTorch.

A FastAPI server for automatic lung segmentation from DICOM files