Multi-spectral video endoscopy system for the detection of cancerous tissue

Author:

Leitner Raimund,Biasio Martin De,Arnold Thomas,Dinh Cuong Viet,Loog Marco,Duin Robert P.W.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference50 articles.

1. Arnold, T., De Biasio, M., Leitner, R., 2010. High-sensitivity hyper-spectral video endoscopy system for intra-surgery tissue classification. In: Proc. IEEE Sensors.

2. Arnold, T., De Biasio, M., Leitner, R., 2011. Hyper-spectral video endoscope for intra-surgery tissue classification using auto-fluorescence and reflectance spectroscopy. In: Proc. SPIE 8087: Clinical and Biomedical Spectroscopy and Imaging II.

3. Azaria, I., Goldshleger, N., Ben-Dor, E., Bar-Hamburger, R., 2009. Detection of cannabis plants by hyper-spectral remote sensing means. In: 6th EARSeL Imaging Spectroscopy SIG workshop.

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5. Mapping minerals, amorphous materials, environmental materials, vegetation, water, ice, and snow, and other materials: the USGS tricorder algorithm;Clark,1995

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