CNN based demosaicing for labeled fluorescence cancer intraoperative imaging with visible-NIR sensors

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

Abstract

Single-chip imaging devices with vertically stacked photodiodes and pixelated spectral filters enhance multi-dye imaging techniques for cancer surgeries. However, this advancement sacrifices spatial resolution. To address this issue, we have created a deep convolutional neural network designed to demosaic color and NIR channels, and its effectiveness has been confirmed through testing on both preclinical and clinical datasets.

Original languageEnglish (US)
Title of host publicationAdvanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXIII
EditorsCaroline Boudoux, James W. Tunnell
PublisherSPIE
ISBN (Electronic)9781510683600
DOIs
StatePublished - 2025
EventAdvanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXIII 2025 - San Francisco, United States
Duration: Jan 25 2025Jan 27 2025

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume13306
ISSN (Print)1605-7422

Conference

ConferenceAdvanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXIII 2025
Country/TerritoryUnited States
CitySan Francisco
Period1/25/251/27/25

Keywords

  • CNN
  • cancer surgery
  • demosaicing
  • image guided surgery
  • near infrared imaging

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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