Please use this identifier to cite or link to this item: https://repository.monashhealth.org/monashhealthjspui/handle/1/49075
Title: Transformative radiology: Chest imaging is being re-defined.
Authors: Lau K.K.;Troupis J.M.;Parsons D.
Monash Health Department(s): Radiology
Institution: (Lau, Troupis) Monash Imaging, Monash Health, Clayton, VIC, Australia
(Lau) School of Clinical Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC, Australia
(Lau) Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia
(Parsons) Women's and Children's Hospital Adelaide Women's and Babies Division Ringgold Standard Institution-Respiratory and Sleep Medicine, North Adelaide, SA, Australia
(Parsons) The University of Adelaide Ringgold Standard Institution-Robinson Research Institute, Adelaide, SA, Australia
Issue Date: 3-Oct-2022
Copyright year: 2022
Publisher: John Wiley and Sons Inc
Place of publication: Australia
Publication information: Respirology. 27(10) (pp 815-817), 2022. Date of Publication: October 2022.
Journal: Respirology
DOI: http://monash.idm.oclc.org/login?url=https://dx.doi.org/10.1111/resp.14358
PubMed URL: 36070934 [https://www.ncbi.nlm.nih.gov/pubmed/?term=36070934]
URI: https://repository.monashhealth.org/monashhealthjspui/handle/1/49075
Type: Editorial
Subjects: artifact reduction
artificial intelligence
computer assisted tomography
contrast to noise ratio
cystic fibrosis
deep learning
diagnostic imaging
dosimetry
image quality
image reconstruction
interventional radiology
lung nodule
machine learning
noise reduction
nuclear magnetic resonance imaging
photon counting computed tomography
radiation dose
radiodiagnosis
radiomics
thorax examination
thorax radiography
CT scanner
MRI scanner software
X ray velocimetry
Type of Clinical Study or Trial: Opinion, perspective or news
Appears in Collections:Articles

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