Open AccessOptical detection and monitoring of pigmented skin lesions
Author(s) -
Jakob J. Stamnes,
G. Ryzhikov,
M. Biryulina,
Børge Hamre,
Lu Zhao,
Knut Stamnes
Publication year - 2017
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.8.002946
Subject(s) - multispectral image , computer science , zoom , artificial intelligence , pattern recognition (psychology) , optics , physics , lens (geology)
A method is presented for discriminating between malignant and benign pigmented skin lesions based on multispectral and multi-angle images. It is discussed how to retrieve maps of physiology properties and morphometric parameters from recorded images using a bio-optical model, radiative transfer calculations, and nonlinear inversion, and how to employ automated zooming to extract lesion and surrounding masks. Training and validation of a classification scheme for separation between benign and malignant tissue yielded sensitivity/specificity ranging from 97%/97% for application to a small dataset comprised of lesions not used for training and validation to 99%/93% for application to a larger dataset.