lung
There are 58 repositories under lung topic.
BMIRDS/deepslide
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
jaeho3690/LIDC-IDRI-Preprocessing
This is the preprocessing step of the LIDC-IDRI dataset
junqiangchen/MedicalImageProcessExample
There are some examples of 3D Medical Image Process
LiquidFun/Airway
Automatic classification of tertiary bronchi based on bronchus masks using a rule-based approach.
moucheng2017/EMSSL
[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
taznux/lung-image-analysis
A basic framework for pulmonary nodule detection and characterization in CT
junqiangchen/LungLobeSegmentation
Lobe Segmentation
wenyalintw/Nodule-CADx
Pulmonary nodules computer-aided diagnosis demo system.
PulmonaryMRI/imoco_recon
iterative Motion Compensation (iMoCo) reconstruction for MRI. Includes both Matlab and Python implementations. reference doi 10.1002/mrm.27998
YeongHyeon/Lung_Extraction_from_CXR
Lung Extraction from Chest X-ray for Efficient Computing
pzaffino/COVID19-intensity-labeling
Code for COVID19 CT labeling. Submillimetric CT dataset provided as well.
andreped/PLS-Net
Reimplementation of the PLS-Net architecture used for lung lobe segmentation in CT
fluxtronic-medical/Fluxtronic
Um projeto Brasileiro para combate ao COVID19.
choilab-jefferson/LungCancerScreeningRadiomics
Lung cancer screening radiomics
healthcAIr/LuVoX
Workflow-centred open-source fully automated lung volumetry in chest CT.
Satnam00/OSIC-Pulmonary-Fibrosis-Progression-Predict-lung-function-decline
In this competition, we’ll predict a patient’s severity of decline in lung function based on a CT scan of their lungs. We’ll determine lung function based on output from a spirometer, which measures the volume of air inhaled and exhaled.
sensynehealth/lung-ct-covid-pathology-detection
Early exploration of detecting signs of lung pathology in COVID-19 Lung CT cases
bedead/lung-cancer-classification-yoloV8---gradio
The model is based on a YOLOv8 (Deep learning Neural network architecture) and is trained on the publicly available dataset, which consists of lung CT scans of patients with and without lung cancer.
magnumical/Online_Automatic_COVID_19_Diagnosing_system
Machine Learning approach to diagnose COVID-19 via X-Ray images
Projects-Developer/Lung-Cancer-Detection-Project
Final year Btech Lung-Cancer-Detection-Project with code and documents
amaanabbasi/XTB-keras
Implemented a CNN in Keras, that is trained on Lung Xrays to predict whether a patient has TB or not
Genentech/topological_PRM_for_lungHRCT
Lung image analysis pipeline for topological PRM maps
kaiem/COVID-19_Ventilator_DIY_Prototype
A vacuum powered DIY Ventilator, all parts and valves 3D printed or from household stores, no electronics.
ahasanpour/lung_texture_classification_cnn
lung texture classification via deep learning
jamestrimble/lungexchange
Algorithms for finding optimal solutions for lung exchange
kaftanski/fissure-segmentation
Keypoint-based lung fissure segmentation with Geometric Convolutional Networks (Master's Thesis)
mastroalex/resp-mech-simulink
Pulmonary ventilation is a critical operation both during surgery and for assisted or replacement ventilation of the patient. This report proposes the analysis of a pulmonary mechanics model using an electrical analogy with an equivalent circuit consisting of resistors and capacitors. Such an electrical-mechanical analogy allows to analyze how the variation of lung parameters influences the ventilation in the case pressure-controlled ventilators and thus simulate the response of the pulmonary system to ventilation. A mathematical model is also proposed for the implementation of a fan controlled by pressure with square wave, within the Simulink modeling environment, with graphic interface and user-selectable parameters. Different pathological conditions are then simulated going to see how the variation of the lung compliance has the predominant effect. Small changes in the capacitance values are reflected in large variations in the volume of incoming air up to dangerous states for the patient himself.
Open-Systems-Pharmacology/Lung-absorption-model
Pulmonary drug absorption implemented in MoBi (Eriksson et al. 2020)
RRafiee/Bioconductor-GenomicDataCommons
Genomic Data Commons Query
sayanmondal31/lungcure
This is a WebApp, which detects lung diseases with integrated stripe payment processing.
soroushtaslimi/lung_image_preprocessing
This repository uses preprocessing technics such as image growing and erosion and dilation to crop the lungs from chest X-ray images.
abdel-habib/COPDgene-CT-registration
Registration of image sets and reference data of inspiratory and expiatory breath-hold CT image pairs acquired from the National Heart Lung Blood Institute COPDgene study archive. This project was developed for a course titled "Medical Image Registration and Applications" - MIRA under MAIA master program.
mrsaraei/Covid19_Data_Analysis
Machine Learning for COVID-19 Data Analysis Project