BCDU-Net : Medical Image Segmentation

Automated lung segmentation in CT

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

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

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.

Lung fields segmentation on CXR images using convolutional neural networks.

A Benchmark for Lung and Infection Segmentation in COVID-19 CT scans

Lung segmentation for chest X-Ray images

Tianchi medical AI competition [Season 1]: Lung nodules image segmentation of U-Net. U-Net训练基于卷积神经网络的肺结节分割器

Lung fields segmentation on tomography images using convolutional neural networks.

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

Segmentation of lung, pulmonary vessels and pulmonary fissures in CT Scans

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

12000+ manually drawn pixel-level lung segmentations, with and without covid

Repository supporting the original research paper in Nature Communications (Primakov et al. 2022)

✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2 --> COVID-19 Infection Segmentation • Task 3 --> Lung Segmentation

Robust segmentation of lung and airway in CT scans

The official code of "Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT Images", CVPR 2025

Introduction to medical image processing with Python: CT lung and vessel segmentation without labels https://theaisummer.com/medical-image-python/

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

LUNA(LUng Nodule Analysis) 2016 Segmentation Pipeline

:hospital: :eye_speech_bubble: Medical Healthcare AI | Robotic Surgery | Automated Brain Tumour Segmentation | Skin Cancer Lesion Detection & Segmentation (Melonama Recognition) | Lung Cancer detection (Chest CT Scan) | IMAGE SEGMENTATION TECHNIQUES

Segmentation of Lungs from Chest X-Rays using Fully Connected Networks

Lung segmentation from CT images

Lung Segmentation UNet model on 3D CT scans

Segmentation Guided Thoracic Classification

This is the official Pytorch implementation of "Lung Segmentation from Chest X-rays using Variational Data Imputation", Raghavendra Selvan et al. 2020

Deep learning-based segmentation and classification of lung nodules

Automatic end-to-end lung tumor segmentation from CT images.

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