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Optical Technologies for the Improvement of Skin Cancer Diagnosis: A Review

Centre for Sensors, Instruments and Systems Development, Universitat Politècnica de Catalunya, 08222 Terrassa, Spain
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Sensors 2021, 21(1), 252; https://doi.org/10.3390/s21010252
Received: 4 December 2020 / Revised: 24 December 2020 / Accepted: 26 December 2020 / Published: 2 January 2021
(This article belongs to the Special Issue Novel Optical Sensors for Biomedical Application)
The worldwide incidence of skin cancer has risen rapidly in the last decades, becoming one in three cancers nowadays. Currently, a person has a 4% chance of developing melanoma, the most aggressive form of skin cancer, which causes the greatest number of deaths. In the context of increasing incidence and mortality, skin cancer bears a heavy health and economic burden. Nevertheless, the 5-year survival rate for people with skin cancer significantly improves if the disease is detected and treated early. Accordingly, large research efforts have been devoted to achieve early detection and better understanding of the disease, with the aim of reversing the progressive trend of rising incidence and mortality, especially regarding melanoma. This paper reviews a variety of the optical modalities that have been used in the last years in order to improve non-invasive diagnosis of skin cancer, including confocal microscopy, multispectral imaging, three-dimensional topography, optical coherence tomography, polarimetry, self-mixing interferometry, and machine learning algorithms. The basics of each of these technologies together with the most relevant achievements obtained are described, as well as some of the obstacles still to be resolved and milestones to be met. View Full-Text
Keywords: skin cancer; melanoma; multispectral imaging; 3D topography; optical feed-back interferometry; confocal microscopy; optical coherence tomography; polarimetry; machine learning skin cancer; melanoma; multispectral imaging; 3D topography; optical feed-back interferometry; confocal microscopy; optical coherence tomography; polarimetry; machine learning
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MDPI and ACS Style

Rey-Barroso, L.; Peña-Gutiérrez, S.; Yáñez, C.; Burgos-Fernández, F.J.; Vilaseca, M.; Royo, S. Optical Technologies for the Improvement of Skin Cancer Diagnosis: A Review. Sensors 2021, 21, 252. https://doi.org/10.3390/s21010252

AMA Style

Rey-Barroso L, Peña-Gutiérrez S, Yáñez C, Burgos-Fernández FJ, Vilaseca M, Royo S. Optical Technologies for the Improvement of Skin Cancer Diagnosis: A Review. Sensors. 2021; 21(1):252. https://doi.org/10.3390/s21010252

Chicago/Turabian Style

Rey-Barroso, Laura; Peña-Gutiérrez, Sara; Yáñez, Carlos; Burgos-Fernández, Francisco J.; Vilaseca, Meritxell; Royo, Santiago. 2021. "Optical Technologies for the Improvement of Skin Cancer Diagnosis: A Review" Sensors 21, no. 1: 252. https://doi.org/10.3390/s21010252

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