@inproceedings{71ef5f2cbe32468dbfd184549b7a7d14,
title = "CNN based demosaicing for labeled fluorescence cancer intraoperative imaging with visible-NIR sensors",
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, cancer surgery, demosaicing, image guided surgery, near infrared imaging",
author = "Yifei Jin and Borislav Kondov and Goran Kondov and Sunil Singhal and Shuming Nie and Viktor Gruev",
note = "Publisher Copyright: {\textcopyright} 2025 SPIE.; Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXIII 2025 ; Conference date: 25-01-2025 Through 27-01-2025",
year = "2025",
doi = "10.1117/12.3044342",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Caroline Boudoux and Tunnell, \{James W.\}",
booktitle = "Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXIII",
}