Journal
BIOMEDICAL OPTICS EXPRESS
Volume 10, Issue 9, Pages 4568-4588Publisher
Optica Publishing Group
DOI: 10.1364/BOE.10.004568
Keywords
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Funding
- Japan Society for the Promotion of Science [JP 15K21336, JP 17K18064, JP15K21716]
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Hyperspectral imaging (HSI) provides more detailed information than red-green-blue (RGB) imaging, and therefore has potential applications in computer-aided pathological diagnosis. This study aimed to develop a pattern recognition method based on HSI, called hyperspectral analysis of pathological slides based on stain spectrum (HAPSS), to detect cancers in hematoxylin and eosin-stained pathological slides of pancreatic tumors. The samples, comprising hyperspectral cubes of 420-750 nm, were harvested for HSI and tissue microarray (TMA) analysis. As a result of conducting HAPSS experiments with a support vector machine (SVM) classifier, we obtained maximal accuracy of 94%), a 14% improvement over the widely used RGB images. Thus, HAPSS is a suitable method to automatically detect tumors in pathological slides of the pancreas. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
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