Vanishing point: a smartphone application that classifies acne lesions and estimates prognosis

Fartash Vasefi; Timothy Horita; Kevin Shi; Minhal Alhashim; Nicholas B. MacKinnon

doi:10.1117/12.2222419

21 December 2016 Vanishing point: a smartphone application that classifies acne lesions and estimates prognosis

Fartash Vasefi, Timothy Horita, Kevin Shi, Minhal Alhashim, Nicholas B. MacKinnon

Proceedings Volume 9711, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX; 97110V (2016) https://doi.org/10.1117/12.2222419
Event: SPIE BiOS, 2016, San Francisco, California, United States

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.

Citation Download Citation

Fartash Vasefi, Timothy Horita, Kevin Shi, Minhal Alhashim, and 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); https://doi.org/10.1117/12.2222419

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