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7 March 2022 SpectrAI: a Python/Matlab deep learning framework for spectral data
Mads S. Bergholt, Conor C. Horgan
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Proceedings Volume PC11957, Biomedical Vibrational Spectroscopy 2022: Advances in Research and Industry; PC1195704 (2022) https://doi.org/10.1117/12.2607291
Event: SPIE BiOS, 2022, San Francisco, California, United States
Abstract
The broader application of deep learning to spectral data remains a complex task due to the need for augmentation routines and architectures specific to spectral data. Here we present spectrai, an open-source Python/MATLAB deep learning package designed to facilitate the training of neural networks on spectral data and enable comparison between different methods. Spectrai provides numerous spectral data pre-processing and augmentation routines, as well as neural networks for spectral data including spectral denoising, spectral classification, spectral image segmentation, and spectral image super-resolution and transfer learning. We demonstrate application of spectrai to Raman spectroscopy and hyperspectral imaging across multiple biomedical domains.
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Mads S. Bergholt and Conor C. Horgan "SpectrAI: a Python/Matlab deep learning framework for spectral data", Proc. SPIE PC11957, Biomedical Vibrational Spectroscopy 2022: Advances in Research and Industry, PC1195704 (7 March 2022); https://doi.org/10.1117/12.2607291
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KEYWORDS
Raman spectroscopy
Biomedical optics
Neural networks
Spectroscopy
Image segmentation
Imaging spectroscopy
Super resolution
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