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Found 4 papers, 2 papers with code
Synthetic white balancing for intra-operative hyperspectral imaging
Synthetic references achieve median pixel-by-pixel errors lower than 6. 5% and produce similar reconstructions and errors to an ideal reference.
Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing
In addition, we performed a blinded usability trial by having two neurosurgeons compare the system with different autofocus policies, and found our novel approach to be the most favourable, making our system a desirable addition for intraoperative HSI.
spectrai: A deep learning framework for spectral data
Deep learning computer vision techniques have achieved many successes in recent years across numerous imaging domains.
High-throughput molecular imaging via deep learning enabled Raman spectroscopy
Here, we present a comprehensive framework for higher-throughput molecular imaging via deep learning enabled Raman spectroscopy, termed DeepeR, trained on a large dataset of hyperspectral Raman images, with over 1. 5 million spectra (400 hours of acquisition) in total.
