Yury V. Kistenev,1,2,3 Valery V. Tuchinhttps://orcid.org/0000-0001-7479-2694,1,4,5 Alexey V. Borisov,1,2,3 Ekaterina N. Lazareva,1,4 Viktor V. Nikolaev,1,3 Daria K. Tuchina,1,4 Denis A. Vrazhnov,1,3 Irina Yu Yanina1,4
1Tomsk State Univ. (Russian Federation) 2Siberian State Medical Univ. (Russian Federation) 3Institute of Strength Physics and Materials Science (Russian Federation) 4Saratov State Univ. (Russian Federation) 5Institute of Precision Mechanics and Control (Russian Federation)
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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.
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Yury V. Kistenev, Valery V. Tuchin, Alexey V. Borisov, Ekaterina N. Lazareva, Viktor V. Nikolaev, Daria K. Tuchina, Denis A. Vrazhnov, 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