Please use this identifier to cite or link to this item:
https://repository.monashhealth.org/monashhealthjspui/handle/1/26620| Title: | Letter by Amukotuwa and Dehkharghani regarding article, "Deep learning based software to identify large vessel occlusion on noncontrast computed tomography". | Authors: | Dehkharghani S.;Amukotuwa S.A. | Institution: | (Amukotuwa) Diagnostic Imaging, Monash Health, Clayton, Australia (Amukotuwa) Department of Radiology, Barwon Health, Geelong, Australia (Dehkharghani) Department of Radiology, New York University, Langone Medical Center, United States | Issue Date: | 22-Apr-2021 | Copyright year: | 2021 | Publisher: | Lippincott Williams and Wilkins | Place of publication: | United States | Publication information: | Stroke. (pp E61-E62), 2021. Date of Publication: 2021. | Journal: | Stroke | DOI: | http://monash.idm.oclc.org/login?url= http://monash.idm.oclc.org/login?url=http://dx.doi.org/10.1161/STROKEAHA.120.032604 |
PubMed URL: | 33493047 [http://www.ncbi.nlm.nih.gov/pubmed/?term=33493047] | ISSN: | 0039-2499 | URI: | https://repository.monashhealth.org/monashhealthjspui/handle/1/26620 | Type: | Letter | Subjects: | letter *software *blood vessel occlusion *deep learning human *computer assisted tomography human [m] letter [m] *deep learning [m] *computer assisted tomography [m] *blood vessel occlusion [m] *software [m] |
Type of Clinical Study or Trial: | Opinion, perspective or news |
| Appears in Collections: | Articles |
Show full item record
Items in Monash Health Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.