@inproceedings{64f1296178854474a6ff596413d5286c,
title = "Smartphone spectroscopy for melanoma detection",
abstract = "Rates of melanoma mortality are greater in remote areas than in cities. In the United States early-stage melanoma incidence was slightly higher in cities while later stage incidence with metastatic spread was higher in rural areas, suggesting a diagnosis gap between the two. Early detection is key as the 5-year survival rate with early discovery can reach 99%, but as the cancer spreads this survival rate is reduced to 27%. This problem is exacerbated by the inaccessibility of state-of-the-art medical care in remote areas. Thus, an affordable, easily operated, tool can help close the diagnostic gap. Previous studies show melanoma{\textquoteright}s reflective and fluorescent spectral signature to be distinct from that of healthy skin, which can be utilized for in-vivo skin cancer detection. Here we present a smartphone spectroscopy system as a tool for melanoma screening with the aim of bringing point-of-care testing to remote areas. The spectrometer consists of a fiber optic cable, collimator, and diffraction grating which couple directly to the smartphone camera, detecting a spectrum in the range of 380-650nm. The spectral data is analyzed and displayed by a custom developed phone application, which uses the smartphone{\textquoteright}s integrated computing to extract and calibrate the spectrum. Key spectral features tied to melanoma can then be input into a classification model, with the aim of providing a noninvasive rapid optical biopsy. The results are promising; preliminary validation of the system is conducted; next steps include collection of a robust training data set of skin samples.",
keywords = "Low Resource, Medical Diagnostics, Melanoma, Skin Cancer, Smartphone Device, Spectroscopy",
author = "Justina Bonaventura and Thomas Knapp and John Koshel and Sawyer, {Travis W.}",
note = "Publisher Copyright: {\textcopyright} 2022 SPIE; Optics and Biophotonics in Low-Resource Settings VIII 2022 ; Conference date: 20-02-2022 Through 24-02-2022",
year = "2022",
doi = "10.1117/12.2608867",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "David Levitz and Aydogan Ozcan",
booktitle = "Optics and Biophotonics in Low-Resource Settings VIII",
}