21 December 2016 Vanishing point: a smartphone application that classifies acne lesions and estimates prognosis
Author Affiliations +
This project introduces a new smartphone mobile medical application that utilizes cloud-based image processing to measure and characterize acne lesions. The application uses image segmentation and image analysis to measure erythema regions and compare them to known physiological characteristics to identify lesion type and stage. It then predicts the time when the lesion will heal, the “Vanishing Point”. The system can update and refine its prediction of the vanishing point as additional images of actual lesion progression are captured on subsequent days. Data from 40 subjects are analyzed for classification accuracy.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fartash Vasefi, Fartash Vasefi, Timothy Horita, Timothy Horita, Kevin Shi, Kevin Shi, Minhal Alhashim, Minhal Alhashim, Nicholas B. MacKinnon, Nicholas B. MacKinnon, "Vanishing point: a smartphone application that classifies acne lesions and estimates prognosis", Proc. SPIE 9711, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX, 97110V (21 December 2016); doi: 10.1117/12.2222419; https://doi.org/10.1117/12.2222419


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