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

研究成果: Conference contribution同行評審

23 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging
發行者IEEE Computer Society
頁面1256-1259
頁數4
ISBN(電子)9781538636411
DOIs
出版狀態Published - 4月 2019
對外發佈
事件16th IEEE International Symposium on Biomedical Imaging, ISBI 2019 - Venice, Italy
持續時間: 8 4月 201911 4月 2019

出版系列

名字Proceedings - International Symposium on Biomedical Imaging
2019-April
ISSN(列印)1945-7928
ISSN(電子)1945-8452

Conference

Conference16th IEEE International Symposium on Biomedical Imaging, ISBI 2019
國家/地區Italy
城市Venice
期間8/04/1911/04/19

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