Repository logo
Communities & Collections
Research Outputs
Fundings & Projects
People
Statistics
User Manual
Have you forgotten your password?
  1. Home
  2. Faculty of Medicine
  3. Faculty of Medicine: Conference papers
  4. CNN-based demosaicing for labeled fluorescence cancer intraoperative imaging with visible-NIR sensors
Details

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

Journal
Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXIII
Date Issued
2025-03
Author(s)
Jin Y
Singhal S
Nie Sh
Gruev V
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.
Keywords: CNN, demosaicing, near infrared imaging, image guided surgery, cancer surgery
Subjects

CNN

demosaicing

near infrared imaging...

image guided surgery

cancer surgery

File(s)
Loading...
Thumbnail Image
Name

133060B.pdf

Size

15.02 MB

Format

Adobe PDF

Checksum

(MD5):cfac94793db788e14eab50d5b18aa7fb

Loading...
Thumbnail Image
Name

1330601.pdf

Size

285.78 KB

Format

Adobe PDF

Checksum

(MD5):29d4e20a3397bcf8d53cb8cde24c82fd

⠀

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify