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Medical hyperspectral imaging: a review

Open access
Lu, Guolan, Fei, Baowei·2014·Journal of Biomedical Optics

Abstract

Hyperspectral imaging (HSI) is an emerging imaging modality for medical applications, especially in disease diagnosis and image-guided surgery. HSI acquires a three-dimensional dataset called hypercube, with two spatial dimensions and one spectral dimension. Spatially resolved spectral imaging obtained by HSI provides diagnostic information about the tissue physiology, morphology, and composition. This review paper presents an overview of the literature on medical hyperspectral imaging technology and its applications. The aim of the survey is threefold: an introduction for those new to the field, an overview for those working in the field, and a reference for those searching for literature on a specific application.

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Metadata

Authors
Lu, G., & Fei, B.
Venue
Journal of Biomedical Optics
Published
2014-01-20
Volume
19
Issue
1
Pages
010901
ISSN
1083-3668 (ISSN-L)
OpenAlex
W1988386267
Cited by
2,291
References
5
FWCI
74.80
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Medical hyperspectral imaging: a review. https://app.cochat.ai/papers/10.1117/1.jbo.19.1.010901
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Lu, G., & Fei, B. (2014). Medical hyperspectral imaging: a review. Journal of Biomedical Optics. https://doi.org/10.1117/1.jbo.19.1.010901

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.