Paper
9 December 2021 Anomaly detection inside diffuse media using deep learning algorithm
Author Affiliations +
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.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
Tumors

3D modeling

Sensors

Tissues

Detection and tracking algorithms

Network architectures

Data modeling

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