Automated assessment of COVID-19 pulmonary disease severity on chest radiographs using convolutional Siamese neural networks

Purpose To develop an automated measure of COVID-19 pulmonary disease severity on chest radiographs (CXRs), for longitudinal disease evaluation and clinical risk stratification. Materials and Methods A convolutional Siamese neural network-based algorithm was trained to output a measure of pulmonary...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:medRxiv
Egile Nagusiak: Li, Matthew D, Arun, Nishanth Thumbavanam, Gidwani, Mishka, Chang, Ken, Deng, Francis, Little, Brent P, Mendoza, Dexter P, Lang, Min, Lee, Susanna I, O'Shea, Aileen, Parakh, Anushri, Singh, Praveer, Kalpathy-Cramer, Jayashree
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Cold Spring Harbor Laboratory 2020
Gaiak:
Article
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC7274251/
https://ncbi.nlm.nih.gov/pubmed/32511570
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/2020.05.20.20108159
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Antzeko izenburuak