Deep Learning Techniques for Unmixing of Hyperspectral Stimulated Raman Scattering Images-Reference-Cited by-同舟云学术

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Deep Learning Techniques for Unmixing of Hyperspectral Stimulated Raman Scattering Images

Published:2021-12-15 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Big Data (Big Data)
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Author:

Burzynski Nikolas,Yuan Yuhao,Felsen Adiel,Reitano David,Wang Zhibo,Sethi Khalid A.,Lu Fake,Chiu Kenneth

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9671263/9671273/09671772.pdf?arnumber=9671772

Reference6 articles.

1. Label-free DNA imaging in vivo with stimulated Raman scattering microscopy

2. Vibrational spectroscopic imaging of living systems: An emerging platform for biology and medicine

3. Pytorch: An imperative style, high-performance deep learning library;paszke,2019

4. Assessing fatty acid-induced lipotoxicity and its therapeutic potential in glioblastoma using stimulated Raman microscopy

5. Hyperspectral Unmixing Using a Neural Network Autoencoder

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Framework for Biosensors Assisted by Multiphoton Effects and Machine Learning;Biosensors;2022-09-01

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