Anomaly detection inside diffuse media using deep learning algorithm

Ben Wiesel, Shlomi Arnon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationDiffuse Optical Spectroscopy and Imaging VIII
EditorsDavide Contini, Yoko Hoshi, Thomas D. O'Sullivan
PublisherSPIE
ISBN (Electronic)9781510647060
DOIs
StatePublished - 1 Jan 2021
EventDiffuse Optical Spectroscopy and Imaging VIII 2021 - Virtual, Online, Germany
Duration: 20 Jun 202124 Jun 2021

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume11920
ISSN (Print)1605-7422

Conference

ConferenceDiffuse Optical Spectroscopy and Imaging VIII 2021
Country/TerritoryGermany
CityVirtual, Online
Period20/06/2124/06/21

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

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