Deep Learning-Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model.

Deep Learning-Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model. Deep learning has the potential to augment clinician performance in medical imaging interpretation and reduce time to diagnosis through automated segmentation. Few studies to date have explored this topic. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png JAMA network open Pubmed

Deep Learning-Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model.


Abstract

Deep learning has the potential to augment clinician performance in medical imaging interpretation and reduce time to diagnosis through automated segmentation. Few studies to date have explored this topic.

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eISSN
2574-3805
DOI
10.1001/jamanetworkopen.2019.5600
pmid
31173130

Abstract

Deep learning has the potential to augment clinician performance in medical imaging interpretation and reduce time to diagnosis through automated segmentation. Few studies to date have explored this topic.

Journal

JAMA network openPubmed

Published: Feb 18, 2020

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