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Monocular depth estimation based on deep learning for intraoperative guidance using surface-enhanced Raman scattering imaging
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作者 ANIWAT JUHONG BO LI +12 位作者 YIFAN LIU CHENG-YOU YAO CHIA-WEI YANG A.K.M.ATIQUE ULLAH KUNLI LIU RYAN P.LEWANDOWSKI JACK R.HARKEMA DALEN W.AGNEW YU LEO LEI GARY D.LUKER XUEFEI HUANG wibool piyawattanametha ZHEN QIU 《Photonics Research》 2025年第2期550-560,共11页
Imaging of surface-enhanced Raman scattering(SERS) nanoparticles(NPs) has been intensively studied for cancer detection due to its high sensitivity, unconstrained low signal-to-noise ratios, and multiplexing detection... Imaging of surface-enhanced Raman scattering(SERS) nanoparticles(NPs) has been intensively studied for cancer detection due to its high sensitivity, unconstrained low signal-to-noise ratios, and multiplexing detection capability. Furthermore, conjugating SERS NPs with various biomarkers is straightforward, resulting in numerous successful studies on cancer detection and diagnosis. However, Raman spectroscopy only provides spectral data from an imaging area without co-registered anatomic context. 展开更多
关键词 raman spectroscopy cancer detection surface enhanced raman scattering imaging intraoperative guidance monocular depth estimation anatomic context deep learning sers nanoparticles
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