A dual stream network for tumor detection in hyperspectral images

P. J.C. Weijtmans, C. Shan, T. Tan, S. G. Brouwer De Koning, T. J.M. Ruers

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

Abstract

Hyperspectral imaging has become an emerging imaging modality for medical applications. In this work, we propose to combine both the spectral and structural information in the hyperspectral data cube for tumor detection in tongue tissue. A dual stream network is designed, with a spectral and a structural branch. Hyperspectral data (480 to 920 nm) is collected from 7 patients with tongue squamous cell carcinoma. Histopathological analysis provided ground truth labels. The proposed dual stream model outperforms the pure spectral and structural approaches with areas under the ROC-curve of 0.90, 0.87 and 0.85, respectively.

Original languageEnglish
Title of host publicationIEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)
PublisherIEEE Computer Society
Pages1256-1259
Number of pages4
ISBN (Electronic)9781538636411
DOIs
Publication statusPublished - 1 Apr 2019
Event16th IEEE International Symposium on Biomedical Imaging, ISBI 2019 - Venice, Italy
Duration: 8 Apr 201911 Apr 2019
Conference number: 16
https://biomedicalimaging.org/2019/

Conference

Conference16th IEEE International Symposium on Biomedical Imaging, ISBI 2019
Abbreviated titleISBI 2019
CountryItaly
CityVenice
Period8/04/1911/04/19
Internet address

Fingerprint

Medical applications
Tongue
Labels
Tumors
Tissue
Imaging techniques
Diagnostic Imaging
ROC Curve
Area Under Curve
Squamous Cell Carcinoma
Neoplasms
Epithelial Cells
Hyperspectral imaging

Keywords

  • Hyperspectral imaging
  • Machine learning
  • Neural networks
  • Tongue tumor

Cite this

Weijtmans, P. J. C., Shan, C., Tan, T., Brouwer De Koning, S. G., & Ruers, T. J. M. (2019). A dual stream network for tumor detection in hyperspectral images. In IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) (pp. 1256-1259). [8759566] IEEE Computer Society. https://doi.org/10.1109/ISBI.2019.8759566
Weijtmans, P. J.C. ; Shan, C. ; Tan, T. ; Brouwer De Koning, S. G. ; Ruers, T. J.M. / A dual stream network for tumor detection in hyperspectral images. IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). IEEE Computer Society, 2019. pp. 1256-1259
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title = "A dual stream network for tumor detection in hyperspectral images",
abstract = "Hyperspectral imaging has become an emerging imaging modality for medical applications. In this work, we propose to combine both the spectral and structural information in the hyperspectral data cube for tumor detection in tongue tissue. A dual stream network is designed, with a spectral and a structural branch. Hyperspectral data (480 to 920 nm) is collected from 7 patients with tongue squamous cell carcinoma. Histopathological analysis provided ground truth labels. The proposed dual stream model outperforms the pure spectral and structural approaches with areas under the ROC-curve of 0.90, 0.87 and 0.85, respectively.",
keywords = "Hyperspectral imaging, Machine learning, Neural networks, Tongue tumor",
author = "Weijtmans, {P. J.C.} and C. Shan and T. Tan and {Brouwer De Koning}, {S. G.} and Ruers, {T. J.M.}",
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Weijtmans, PJC, Shan, C, Tan, T, Brouwer De Koning, SG & Ruers, TJM 2019, A dual stream network for tumor detection in hyperspectral images. in IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)., 8759566, IEEE Computer Society, pp. 1256-1259, 16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, Italy, 8/04/19. https://doi.org/10.1109/ISBI.2019.8759566

A dual stream network for tumor detection in hyperspectral images. / Weijtmans, P. J.C.; Shan, C.; Tan, T.; Brouwer De Koning, S. G.; Ruers, T. J.M.

IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). IEEE Computer Society, 2019. p. 1256-1259 8759566.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Weijtmans PJC, Shan C, Tan T, Brouwer De Koning SG, Ruers TJM. A dual stream network for tumor detection in hyperspectral images. In IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). IEEE Computer Society. 2019. p. 1256-1259. 8759566 https://doi.org/10.1109/ISBI.2019.8759566