Deep Learning–Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model

IMPORTANCE: 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. OBJECTIVE: To develop and apply a neural network segmentation model (the HeadXNet...

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Vydáno v:JAMA Netw Open
Hlavní autoři: Park, Allison, Chute, Chris, Rajpurkar, Pranav, Lou, Joe, Ball, Robyn L., Shpanskaya, Katie, Jabarkheel, Rashad, Kim, Lily H., McKenna, Emily, Tseng, Joe, Ni, Jason, Wishah, Fidaa, Wittber, Fred, Hong, David S., Wilson, Thomas J., Halabi, Safwan, Basu, Sanjay, Patel, Bhavik N., Lungren, Matthew P., Ng, Andrew Y., Yeom, Kristen W.
Médium: Artigo
Jazyk:Inglês
Vydáno: American Medical Association 2019
Témata:
Original Investigation
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6563570/
https://ncbi.nlm.nih.gov/pubmed/31173130
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamanetworkopen.2019.5600
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