lungs
There are 0 repository 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 Notebook 101- 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:Python 12 EnricRovira / Pulmonar_Fibrosis_Progression
Deep Learning model for predicting Pulmonar Fibrosis evolution
Language:Jupyter Notebook 5NamrataThakur / 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 Notebook 4gabbygab1233 / Pneumonia-Prediction-from-Xray-Images-Using-Pytorch-Fastai
A Web Application that can Detect Pneumonia from Chest X-ray images.
Language:Jupyter Notebook 3hamza-mughees / Microsoft-Detecting-COVID-19
This project uses Convolutional Neural Networks to detect Covid-19 in chest X-rays.
Language:Jupyter Notebook 2jedrzejd / Covid_detection
Automatic detection of covid-19 on x-ray images of the lungs.
Language:Jupyter Notebook 2Jimut123 / 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 Notebook 2mano3-1 / 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 Notebook 2Pegah-Ardehkhani / Pneumonia-Diagnosis-in-Chest-X-ray-Images
Detect Pneumonia Using Deep Learning Models (CNN and InceptionV3)
cnndata-sciencedeep-learningdeep-learning-algorithmsdeep-neural-networksmachine-learningmachine-learning-algorithmspneumoniapneumonia-classificationpneumonia-detectionpneumonia-diagnosispneumoniac-xraytensorflowtransfer-learningimage-classificationimage-processinghealthcarelungsx-ray-imagesdeep-learning-healthcareLanguage:Jupyter Notebook 2- Language:Jupyter Notebook 1
jayroy9825 / Covid-detection-in-lungs-using-Ai
CoronaVirus infection Detection in Lungs using AI
Language:Python 1- Language:Python 1
stefanomoriconi / VoLoAn_master
Volume Local Analysis -- Chest Wall Plethysmography using Opto-Electronic Sensor Data
- Language:Jupyter Notebook 0
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 Notebook 0roydipta / xray_pneumonia
Utilizing the power of Convolutional Neural Networks to create an accurate classification of Pneumonia from Lung X-rays.
Language:Jupyter Notebook 0smailbarkouch / covid-cnn
A convolutional neural netowrk that detects covid-19 and pneumonia from x-ray scans of the lungs.
Language:Python 0- Language:C++
