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Proceedings Paper

Vanishing point: a smartphone application that classifies acne lesions and estimates prognosis
Author(s): Fartash Vasefi; Timothy Horita; Kevin Shi; Minhal Alhashim; Nicholas B. MacKinnon
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Paper Abstract

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.

Paper Details

Date Published: 21 December 2016
PDF: 7 pages
Proc. SPIE 9711, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX, 97110V (21 December 2016); doi: 10.1117/12.2222419
Show Author Affiliations
Fartash Vasefi, eTreat Medical Diagnostics Inc. (Canada)
Timothy Horita, eTreat Medical Diagnostics Inc. (Canada)
Kevin Shi, eTreat Medical Diagnostics Inc. (Canada)
Minhal Alhashim, School of Medicine and Health Sciences, Univ. of North Dakota (United States)
Nicholas B. MacKinnon, eTreat Medical Diagnostics Inc. (Canada)

Published in SPIE Proceedings Vol. 9711:
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX
Daniel L. Farkas; Dan V. Nicolau; Robert C. Leif, Editor(s)

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