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Semi-Automated Nasal PAP Mask Sizing using Facial Photographs

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 نشر من قبل Benjamin Johnston
 تاريخ النشر 2017
  مجال البحث الهندسة المعلوماتية
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We present a semi-automated system for sizing nasal Positive Airway Pressure (PAP) masks based upon a neural network model that was trained with facial photographs of both PAP mask users and non-users. It demonstrated an accuracy of 72% in correctly sizing a mask and 96% accuracy sizing to within 1 mask size group. The semi-automated system performed comparably to sizing from manual measurements taken from the same images which produced 89% and 100% accuracy respectively.



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