The objective of this project is to develop a model utilizing a convolutional neural network (CNN) for the classification of lung infections in individuals based on medical imagery.
-
Updated
Aug 18, 2023 - Jupyter Notebook
The objective of this project is to develop a model utilizing a convolutional neural network (CNN) for the classification of lung infections in individuals based on medical imagery.
MDPD - Microbiome Database of Pulmonary Diseases
Pleural Effusion Classifier Model PyTorch
The COVID-19 virus spreads primarily through droplets of saliva or discharge from the nose when an infected person coughs or sneezes, so it’s important that you also practice respiratory etiquette (for example, by coughing into a flexed elbow). Deep learning can be used to detect COVID-19 in a patient as recent studies has shown that people suf…
Lung diseases classification in 2D using chest CT cases and Analysis the multi-channel effect on classification. This work is been done during summer internship July-Aguest 2018, Duke University Medical Center.
Labelless automated airway measurement using style transfer to generate synthetic data.
The preparation for the Lung X-Ray Mask Segmentation project included the use of augmentation methods like flipping to improve the dataset, along with measures to ensure data uniformity and quality. The model architecture was explored with two types of ResNets: the traditional CNN layers and Depthwise Separable.
This repo contains the source code of my undergraduate thesis project.
The website of VN AIDr project
My 34th place solution to the OSIC Pulmonary Fibrosis Progression Competition hosted on Kaggle 🔬
A system to provide Health care for patients, Doctors and Radiologists
Deep learning Project on Pneumonia Classification
Lung segmentation for chest X-Ray images with ResUNet and UNet. In addition, feature extraction and tuberculosis cases diagnosis had developed.
Image classification: binary classification of Lung X-ray grayscale images using ChexNet
Weakly supervised 3D classification of multi-disease chest CT scans using multi-resolution deep segmentation features via dual-stage CNN architecture (DenseVNet, 3D Residual U-Net).
AirQuant is a framework based in MATLAB primarily for extracting airway measurements from fully segmented airways of a chest CT.
This Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features", Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 1131408 (16 March 2020)
Idiopathic pulmonary fibrosis (IPF) is a restrictive interstitial lung disease that causes lung function decline by lung tissue scarring. Although lung function decline is assessed by the forced vital capacity (FVC), determining the accurate progression of IPF remains a challenge. To address this challenge, we proposed Fibro-CoSANet, a novel end…
Motion-compensated low-rank reconstruction for simultaneous structural and functional UTE lung MRI doi: 10.1002/mrm.29703
Add a description, image, and links to the lung-disease topic page so that developers can more easily learn about it.
To associate your repository with the lung-disease topic, visit your repo's landing page and select "manage topics."