Deep learning-based automatic detection of aspects in acute ischemic stroke: improving stroke assessment on ct scans

HIGHLIGHTS

• who: Pi-Ling Chiang and collaborators from the Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan have published the article: Deep Learning-Based Automatic Detection of ASPECTS in Acute Ischemic Stroke: Improving Stroke Assessment on CT Scans, in the Journal: (JOURNAL)
• what: The authors developed a deep learning-based automatic detection (DLAD) algorithm for AIS automated ASPECT scoring and compared it with the ASPECTS readings on NCCT as performed by radiologists and different clinicians. The DLAD algorithm the authors propose herein could assist different subspecialists . . .
  

   

  

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