ArticleJournal of biomedical optics2015
Framework for hyperspectral image processing and quantification for cancer detection during animal tumor surgery.
Article in Journal of biomedical optics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 57 citations in OpenAlex.
- Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications.Journal of biomedical optics · 2026Pooled it
- Hyperspectral imaging for tumor resection guidance in surgery: a systematic review of preclinical and clinical studies.Journal of biomedical optics · 2025Pooled it
- Automated Individual-Level ROI-to-Spectrum Extraction for Hyperspectral Analysis in Forensic Entomology.Insects · 2026Article
- Label-free classification of nanoscale drug delivery systems using hyperspectral imaging and convolutional neural networks.International journal of pharmaceutics · 2025Article
- Systematic meta-analysis of computer-aided detection to detect early esophageal cancer using hyperspectral imaging.Biomedical optics express · 2023Article
- Deep Learning in Medical Hyperspectral Images: A Review.Sensors (Basel, Switzerland) · 2022Review
- Comparison of preprocessing techniques to reduce nontissue-related variations in hyperspectral reflectance imaging.Journal of biomedical optics · 2022Article
- Band selection for oxygenation estimation with multispectral/hyperspectral imaging.Biomedical optics express · 2022Article
- Comprehensive review of surgical microscopes: technology development and medical applications.Journal of biomedical optics · 2021Review
- Surgical spectral imaging.Medical image analysis · 2020Review
- Real-time diagnosis and visualization of tumor margins in excised breast specimens using fluorescence lifetime imaging and machine learning.Biomedical optics express · 2020Article
- Applications of hyperspectral imaging in the detection and diagnosis of solid tumors.Translational cancer research · 2020Review
- Article
- Method for coregistration of optical measurements of breast tissue with histopathology: the importance of accounting for tissue deformations.Journal of biomedical optics · 2019Article
- Hyperspectral imaging for head and neck cancer detection: specular glare and variance of the tumor margin in surgical specimens.Journal of medical imaging (Bellingham, Wash.) · 2019Article
- In-Vivo and Ex-Vivo Tissue Analysis through Hyperspectral Imaging Techniques: Revealing the Invisible Features of Cancer.Cancers · 2019Review
- Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networks.Journal of biomedical optics · 2019Article
- Deep Learning-Based Framework forSensors (Basel, Switzerland) · 2019Article
- Surgical Aid Visualization System for Glioblastoma Tumor Identification based on Deep Learning andProceedings of SPIE--the International Society for Optical Engineering · 2019Article
- Cancer Detection Using Hyperspectral Imaging and Evaluation of the Superficial Tumor Margin Variance with Depth.Proceedings of SPIE--the International Society for Optical Engineering · 2019Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
Hyperspectral imaging (HSI) is an imaging modality that holds strong potential for rapid cancer detection during image-guided surgery. But the data from HSI often needs to be processed appropriately in order to extract the maximum useful information that differentiates cancer from normal tissue. We proposed a framework for hyperspectral image processing and quantification, which includes a set of steps including image preprocessing, glare removal, feature extraction, and ultimately image classification. The framework has been tested on images from mice with head and neck cancer, using spectra from 450- to 900-nm wavelength. The image analysis computed Fourier coefficients, normalized reflectance, mean, and spectral derivatives for improved accuracy. The experimental results demonstrated the feasibility of the hyperspectral image processing and quantification framework for cancer detection during animal tumor surgery, in a challenging setting where sensitivity can be low due to a modest number of features present, but potential for fast image classification can be high. This HSI approach may have potential application in tumor margin assessment during image-guided surgery, where speed of assessment may be the dominant factor.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.