Semi-Automated Nasal PAP Mask Sizing using Facial Photographs
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 group. The semi-automated system performed comparably to sizing from manual measurements taken from the same images which produced 89 respectively.
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