Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging

Martin Halicek, Guolan Lu, James V. Little, Xu Wang, Mihir Patel, Christopher C. Griffith, Mark W. El-Deiry, Amy Y. Chen, Baowei Fei

Research output: Contribution to journalArticle

42 Citations (Scopus)

Abstract

Surgical cancer resection requires an accurate and timely diagnosis of the cancer margins in order to achieve successful patient remission. Hyperspectral imaging (HSI) has emerged as a useful, noncontact technique for acquiring spectral and optical properties of tissue. A convolutional neural network (CNN) classifier is developed to classify excised, squamous-cell carcinoma, thyroid cancer, and normal head and neck tissue samples using HSI. The CNN classification was validated by the manual annotation of a pathologist specialized in head and neck cancer. The preliminary results of 50 patients indicate the potential of HSI and deep learning for automatic tissue-labeling of surgical specimens of head and neck patients.

Original languageEnglish (US)
Article number060503
JournalJournal of biomedical optics
Volume22
Issue number6
DOIs
StatePublished - Jun 1 2017
Externally publishedYes

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classifying
cancer
Tissue
Neural networks
Labeling
annotations
Classifiers
Optical properties
classifiers
learning
marking
margins
Hyperspectral imaging
optical properties

Keywords

  • Cancer detection
  • Convolutional neural network
  • Deep learning
  • Hyperspectral imaging
  • Image-guided surgery

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Biomedical Engineering

Cite this

Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging. / Halicek, Martin; Lu, Guolan; Little, James V.; Wang, Xu; Patel, Mihir; Griffith, Christopher C.; El-Deiry, Mark W.; Chen, Amy Y.; Fei, Baowei.

In: Journal of biomedical optics, Vol. 22, No. 6, 060503, 01.06.2017.

Research output: Contribution to journalArticle

Halicek, M, Lu, G, Little, JV, Wang, X, Patel, M, Griffith, CC, El-Deiry, MW, Chen, AY & Fei, B 2017, 'Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging', Journal of biomedical optics, vol. 22, no. 6, 060503. https://doi.org/10.1117/1.JBO.22.6.060503
Halicek, Martin ; Lu, Guolan ; Little, James V. ; Wang, Xu ; Patel, Mihir ; Griffith, Christopher C. ; El-Deiry, Mark W. ; Chen, Amy Y. ; Fei, Baowei. / Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging. In: Journal of biomedical optics. 2017 ; Vol. 22, No. 6.
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