Deep learning-based interpretation of basal/acetazolamide brain perfusion SPECT leveraging unstructured reading reports
ConclusionWe developed a deep learning model to support the interpretation of brain perfusion SPECT by converting unstructured text reports into structured labels. This model can be used as a support system not only to identify perfusion abnormalities but also to provide quantitative scores of abnormalities, particularly for patients who require revascularization.
Source: European Journal of Nuclear Medicine and Molecular Imaging - Category: Nuclear Medicine Source Type: research
More News: Acetazolamide | Brain | CT Scan | Learning | Neurology | Nuclear Medicine | Perfusion | SPECT | Universities & Medical Training