There are 0 repository under fibrosis topic.
Launched in March 2020 in response to the coronavirus disease 2019 (COVID-19) pandemic, COVID-Net is a global open source, open access initiative dedicated to accelerating advancement in machine learning to aid front-line healthcare workers and clinical institutions around the world fighting the continuing pandemic. Towards this goal, our global multi-disciplinary team of researchers, developers, and clinicians have made publicly available a suite of tailored deep neural network models for tackling different challenges ranging from screening to risk stratification to treatment planning for patients with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Furthermore, we have made available fully curated, open access benchmark datasets comprised of some of the largest, most diverse patient cohorts from around the world.
A python package to analyze the matrix fiber orientation and intensity around cells in fiber matrices (as a proxy for cellular forces).
Open-source Python package for a wide range of tasks in modeling cardiac electrophysiology using finite-difference methods.
Segmentation of histological images and fibrosis identification with a convolutional neural network
Deep Learning model for predicting Pulmonar Fibrosis evolution
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.
Repository with the analysis of two kidney fibrosis models in mouse
65Roses®🌹 Cure Cystic Fibrosis [65ROSES] BSC SOLANA ETH / Fundraising Token $65Roses 🌹
Histopathology of a developing firosis in a cholecystitis