Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/34897| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jin Y | en_US |
| dc.contributor.author | Kondov B | en_US |
| dc.contributor.author | Kondov G | en_US |
| dc.contributor.author | Singhal S | en_US |
| dc.contributor.author | Nie Sh | en_US |
| dc.contributor.author | Gruev V | en_US |
| dc.date.accessioned | 2026-02-17T12:38:15Z | - |
| dc.date.available | 2026-02-17T12:38:15Z | - |
| dc.date.issued | 2025-03 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.12188/34897 | - |
| dc.description.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 | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | SPIE Digital Library | en_US |
| dc.relation.ispartof | Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXIII | en_US |
| dc.subject | CNN | en_US |
| dc.subject | demosaicing | en_US |
| dc.subject | near infrared imaging | en_US |
| dc.subject | image guided surgery | en_US |
| dc.subject | cancer surgery | en_US |
| dc.title | CNN-based demosaicing for labeled fluorescence cancer intraoperative imaging with visible-NIR sensors | en_US |
| dc.type | Proceeding article | en_US |
| dc.relation.conference | Proc. SPIE 13306, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXIII, 133060B (20 March 2025) | en_US |
| item.fulltext | With Fulltext | - |
| item.grantfulltext | open | - |
| crisitem.author.dept | Faculty of Medicine | - |
| crisitem.author.dept | Faculty of Medicine | - |
| Appears in Collections: | Faculty of Medicine: Conference papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 133060B.pdf | 15.39 MB | Adobe PDF | View/Open | |
| 1330601.pdf | 285.78 kB | Adobe PDF | View/Open |
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