使用面部照片的半自动鼻PAP面罩尺寸确定
Semi-Automated Nasal PAP Mask Sizing using Facial Photographs
University of Sydney（悉尼大学）
摘要：
我们提出了一个半自动化的系统，用于确定鼻气道正压通气（PAP）面罩的大小，该系统基于一个神经网络模型，该模型用PAP面罩使用者和非使用者的面部照片进行训练。它证明了在正确调整掩模尺寸方面的72%的准确度和在1个掩模尺寸组内的96%的准确度。半自动化系统从相同图像的手动测量值进行重复测量，分别产生89%和100%的准确度。
英文摘要：
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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