lungs

There are 19 repositories under lungs topic.

  • deadskull7/Pneumonia-Diagnosis-using-XRays-96-percent-Recall

    BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from XRay images of lungs of a person using self laid convolutional neural network and tranfer learning via inceptionV3. The images were of size greater than 1000 pixels per dimension and the total dataset was tagged large and had a space of 1GB+ . My work includes self laid neural network which was repeatedly tuned for one of the best hyperparameters and used variety of utility function of keras like callbacks for learning rate and checkpointing. Could have augmented the image data for even better modelling but was short of RAM on kaggle kernel. Other metrics like precision , recall and f1 score using confusion matrix were taken off special care. The other part included a brief introduction of transfer learning via InceptionV3 and was tuned entirely rather than partially after loading the inceptionv3 weights for the maximum achieved accuracy on kaggle till date. This achieved even a higher precision than before.

    Language:Jupyter Notebook1029475
  • Fibro-CoSANet

    zabir-nabil/Fibro-CoSANet

    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-to-end multi-modal learning-based approach, to predict the FVC decline. Fibro-CoSANet utilized CT images and demographic information in convolutional neural network frameworks with a stacked attention layer. Extensive experiments on the OSIC Pulmonary Fibrosis Progression Dataset demonstrated the superiority of our proposed Fibro-CoSANet by achieving the new state-of-the-art modified Laplace Log-Likelihood score of -6.68. This network may benefit research areas concerned with designing networks to improve the prognostic accuracy of IPF.

    Language:Python19214

  • EnricRovira/Pulmonar_Fibrosis_Progression

    Deep Learning model for predicting Pulmonar Fibrosis evolution

    Language:Jupyter Notebook5301

  • NamrataThakur/SIIM-PCR-Pneumothorax-Segmentation

    This repository contains the image classification followed by semantic segmentation of Chest X-Rays to detect a clinical condition called Pneumothorax.

    Language:Jupyter Notebook4200

  • Pegah-Ardehkhani/Pneumonia-Diagnosis-in-Chest-X-ray-Images

    Detect Pneumonia Using Deep Learning Models (CNN and InceptionV3)

    Language:Jupyter Notebook4101

  • gabbygab1233/Pneumonia-Prediction-from-Xray-Images-Using-Pytorch-Fastai

    A Web Application that can Detect Pneumonia from Chest X-ray images.

    Language:Jupyter Notebook3201

  • Jimut123/bmsan

    Machine Learning 2 Course Project at RKMVERI, 2021. Published at The Imaging Science Journal (2023), Paper: https://www.tandfonline.com/doi/full/10.1080/13682199.2023.2174657

    Language:Jupyter Notebook3100

  • hamza-mughees/Microsoft-Detecting-COVID-19

    This project uses Convolutional Neural Networks to detect Covid-19 in chest X-rays.

    Language:Jupyter Notebook2202

  • jedrzejd/Covid_detection

    Automatic detection of covid-19 on x-ray images of the lungs.

    Language:Jupyter Notebook2100

  • mano3-1/CovidNet

    The aim is not only to make a model which can classify the chest x-ray data but also to extract the heat maps of the x-ray for faster diagnosis and making it more reliable to use in real time.

    Language:Jupyter Notebook2200

  • fcr3/aeolux

    A Deep Learning Application for Detecting Lung Abnomalities

    Language:Jupyter Notebook1300

  • jayroy9825/Covid-detection-in-lungs-using-Ai

    CoronaVirus infection Detection in Lungs using AI

    Language:Python1100

  • Ronfleex/Research_Lungs

    Research on the Lungs

    Language:C++110

  • ruixiao85/LungNeuralNet

    Tensorflow Keras Lung

    Language:Python1400

  • stefanomoriconi/VoLoAn_master

    Volume Local Analysis -- Chest Wall Plethysmography using Opto-Electronic Sensor Data

    1100

  • akansh12/lung-seg

    Lung Segmentation

    Language:Jupyter Notebook0200

  • lopez-christian/Chest-X-Ray-Deep-Learning-Project

    This repository includes my Chest X-Ray Deep Learning-Flatiron School Module 4 Project. For this project, I made use of OS to access the data. The Pandas, NumPy, Matplotlib, Seaborn, and Plotly libraries were used to explore the data. Keras was used to build the image classifier.

    Language:Jupyter Notebook0200

  • roydipta/xray_pneumonia

    Utilizing the power of Convolutional Neural Networks to create an accurate classification of Pneumonia from Lung X-rays.

    Language:Jupyter Notebook0000

  • smailbarkouch/covid-cnn

    A convolutional neural netowrk that detects covid-19 and pneumonia from x-ray scans of the lungs.

    Language:Python0100