FREEnet: a dynamic deep-learning model for freehand diffuse optical tomography

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A deep-learning (DL) model for handheld diffuse optical tomography is presented. The fully convolutional network can reconstruct 3D absorption and scattering from arbitrarily undersampled scan data at a rate of 18.5Hz, enabling real-time imaging.

Original languageEnglish
Title of host publicationOptical Coherence Tomography 2024
PublisherOptica Publishing Group (formerly OSA)
ISBN (Electronic)9781957171340
DOIs
Publication statusPublished - Apr 2024
EventClinical and Translational Biophotonics 2024 - Fort Lauderdale, United States
Duration: 7 Apr 202410 Apr 2024

Conference

ConferenceClinical and Translational Biophotonics 2024
Country/TerritoryUnited States
CityFort Lauderdale
Period7/04/2410/04/24

Bibliographical note

Publisher Copyright:
© 2024 The Author(s)

ASJC Scopus subject areas

  • Instrumentation
  • General Computer Science
  • Space and Planetary Science
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics

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