Ве молиме користете го овој идентификатор да го цитирате или поврзете овој запис: http://hdl.handle.net/20.500.12188/34897
Наслов: CNN-based demosaicing for labeled fluorescence cancer intraoperative imaging with visible-NIR sensors
Authors: Jin Y
Kondov B 
Kondov G 
Singhal S
Nie Sh
Gruev V
Keywords: CNN
demosaicing
near infrared imaging
image guided surgery
cancer surgery
Issue Date: мар-2025
Publisher: SPIE Digital Library
Journal: Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXIII
Conference: Proc. SPIE 13306, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXIII, 133060B (20 March 2025)
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
URI: http://hdl.handle.net/20.500.12188/34897
Appears in Collections:Faculty of Medicine: Conference papers

Files in This Item:
File Опис SizeFormat 
133060B.pdf15.39 MBAdobe PDFView/Open
1330601.pdf285.78 kBAdobe PDFView/Open
Прикажи целосна запис

Google ScholarTM

Проверете


Записите во DSpace се заштитени со авторски права, со сите права задржани, освен ако не е поинаку наведено.