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

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

Lung fields segmentation on CXR images using convolutional neural networks.

Lung segmentation for chest X-Ray images

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”

Segmentation Guided Thoracic Classification

Lung Segmentation UNet model on 3D CT scans

Lung Segmentations of COVID-19 Chest X-ray Dataset.

Lobe Segmentation

The code to finetune SAM with bounding box prompt for segmentation of the lungs on CT

Application of U-Net in Lung Segmentation-Pytorch

Lung Segmentation on RSNA Pneumonia Detection Dataset

[ICCV 2023] Self-supervised Semantic Segmentation: Consistency over Transformation

[ISBI 2024] FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation

Lung Nodules Segmentation from CT scans using CNN.

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