Alberta Stroke Program Early CT Score Calculation Using the Deep Learning-Based Brain Hemisphere Comparison Algorithm.
Journal:
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Published Date:
Jul 1, 2021
Abstract
OBJECTIVES: The Alberta Stroke Program Early Computed Tomography Score (ASPECTS) is a promising tool for the evaluation of stroke expansion to determine suitability for reperfusion therapy. The aim of this study was to validate deep learning-based ASPECTS calculation software that utilizes a three-dimensional fully convolutional network-based brain hemisphere comparison algorithm (3D-BHCA).
Authors
Keywords
Aged
Aged, 80 and over
Clinical Decision-Making
Deep Learning
Female
Humans
Imaging, Three-Dimensional
Male
Patient Selection
Predictive Value of Tests
Prognosis
Radiographic Image Interpretation, Computer-Assisted
Reproducibility of Results
Retrospective Studies
Stroke
Thrombectomy
Thrombolytic Therapy
Tomography, X-Ray Computed