Topic: pulmonary Goto Github
Some thing interesting about pulmonary
Some thing interesting about pulmonary
pulmonary,Identifying and segmenting pneumothorax pulmonary disease in chest x-rays. Codes and data related to SIIM-ACR Pneumothorax Segmentation Kaggle Challenge.
User: armiro
pulmonary,A TypeScript implementation of Global Lung Function Initiative's reference values for the carbon monoxide transfer factor for Caucasians
Organization: automate-medical
pulmonary,Ventiltor data set visualization MATLAB tool for lung injury (pre-clinical research)
User: clnelson2
pulmonary,This is the repository for the SAVE score project
User: gdavis01
pulmonary,iterative Motion Compensation (iMoCo) reconstruction for MRI. Includes both Matlab and Python implementations. reference doi 10.1002/mrm.27998
Organization: pulmonarymri
pulmonary,A basic framework for pulmonary nodule detection and characterization in CT
User: taznux
Home Page: https://qradiomics.wordpress.com/portfolio/lung-image-analysis-framwork/
pulmonary,Pulmonary nodules computer-aided diagnosis demo system.
User: wenyalintw
pulmonary,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.
User: zabir-nabil
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