Anomaly detection inside diffuse media using deep learning algorithm

Ben Wiesel; Shlomi Arnon

doi:10.1117/12.2615429

9 December 2021 Anomaly detection inside diffuse media using deep learning algorithm

Ben Wiesel, Shlomi Arnon

Proceedings Volume 11920, Diffuse Optical Spectroscopy and Imaging VIII; 119201Z (2021) https://doi.org/10.1117/12.2615429
Event: European Conferences on Biomedical Optics, 2021, Online Only

Abstract

Novel deep-learning algorithm is utilized to detect simulated tumors embedded inside 3D turbid media using a small set of sources and detectors. Thus, proving the utility of deep-learning methods for solving diffuse imaging 3D inverse problems.

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Ben Wiesel and Shlomi Arnon "Anomaly detection inside diffuse media using deep learning algorithm", Proc. SPIE 11920, Diffuse Optical Spectroscopy and Imaging VIII, 119201Z (9 December 2021); https://doi.org/10.1117/12.2615429

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KEYWORDS

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3D modeling

Sensors

Tissues

Detection and tracking algorithms

Network architectures

Data modeling

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