lung-segmentation 开源项目推荐（68 个）

JoHof /lungmask

Automated lung segmentation in CT

mattmacy /vnet.pytorch

V-Net：用于体数据医学图像分割的全卷积神经网络的 PyTorch 实现

wikke /Tianchi-Medical-LungTumorDetect

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

imlab-uiip /lung-segmentation-2d

Lung fields segmentation on CXR images using convolutional neural networks.

IlliaOvcharenko /lung-segmentation

Lung segmentation for chest X-Ray images

Slicer /SlicerLungCTAnalyzer

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

frankkramer-lab /covid19.MIScnn

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

DLWK /EANet

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

Thvnvtos /Lung_Segmentation

Lung Segmentation UNet model on 3D CT scans

dattran2346 /chestX-ray-14

Segmentation Guided Thoracic Classification

rekalantar /MedSegmentAnything_SAM_LungCT

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

junqiangchen /LungLobeSegmentation

Lobe Segmentation

GeneralBlockchain /covid-19-chest-xray-segmentations-dataset

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

seungjunlee96 /U-Net_Lung-Segmentation

Application of U-Net in Lung Segmentation-Pytorch

xmindflow /SSCT

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

limingwu8 /Lung-Segmentation

Lung Segmentation on RSNA Pneumonia Detection Dataset

nadeemlab /SeqX2Y

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

ayush9304 /Lung_Cancer_Detection

Lung Nodules Segmentation from CT scans using CNN.

xmindflow /FuseNet

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

mhmodir /Chest-X-Ray-Image_Segmentation_ResUNet

Lung segmentation for chest X-Ray images with ResUNet and UNet. In addition, feature extraction and tuberculosis cases diagnosis had developed.