Predicting Outcomes in Idiopathic Pulmonary Fibrosis Using Automated Computed Tomographic Analysis. (2018)
Attributed to:
MICA: Medical Bioinformatics: Data-Driven Discovery for Personalised Medicine
funded by
MRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1164/rccm.201711-2174oc
PubMed Identifier: 29684284
Publication URI: http://europepmc.org/abstract/MED/29684284
Type: Journal Article/Review
Volume: 198
Parent Publication: American journal of respiratory and critical care medicine
Issue: 6
ISSN: 1073-449X