Topic: fibrosis Goto Github
Some thing interesting about fibrosis
Some thing interesting about fibrosis
fibrosis,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.
User: alexswong
fibrosis,Evaluates the fiber orientation and intensity around cells that compact collagen tissue as measure of contractile strength.
User: davidbhr
fibrosis,Deep Learning model for predicting Pulmonar Fibrosis evolution
User: enricrovira
fibrosis,Repository with the analysis of two kidney fibrosis models in mouse
Organization: hbc
Home Page: http://hbcreports.med.harvard.edu/MouseKidneyFibrOmics/
fibrosis,
Organization: ksu-hmi
fibrosis,65Roses®🌹 Cure Cystic Fibrosis [65ROSES] BSC SOLANA ETH / Fundraising Token $65Roses 🌹
User: neuromaster
fibrosis,Histopathology of a developing firosis in a cholecystitis
Organization: pathologyatlas
Home Page: https://pathologyatlas.github.io/fibrosis/
fibrosis,Code for proceeding paper in FIMH2019
User: pezzus
fibrosis,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.
User: satnam00
fibrosis,Segmentation of histological images and fibrosis identification with a convolutional neural network
User: xhelenfu
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