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1 March 2019 Medical diagnosis using NIR and THz tissue imaging and machine learning methods
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Abstract
The problem of extracting useful information for medical diagnosis from 2D and 3D optical imaging experimental data is of great importance. We are discussing challenges and perspectives of medical diagnosis using machine learning analysis of NIR and THz tissue imaging. The peculiarities of tissue optical clearing for tissue imaging in NIR and THz spectral ranges aiming the improvement of content data analysis, methods of extracting of informative features from experimental data and creating of prognostic models for medical diagnosis using machine learning methods are discussed.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yury V. Kistenev, Valery V. Tuchin, Alexey V. Borisov, Ekaterina N. Lazareva, Viktor V. Nikolaev, Daria K. Tuchina, Denis A. Vrazhnov, and Irina Yu Yanina "Medical diagnosis using NIR and THz tissue imaging and machine learning methods", Proc. SPIE 10877, Dynamics and Fluctuations in Biomedical Photonics XVI, 108770J (1 March 2019); https://doi.org/10.1117/12.2508166
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