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13 March 2024 Deep-learning assisted stimulated Raman histology of human biopsy
Minbiao Ji
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Proceedings Volume PC12855, Advanced Chemical Microscopy for Life Science and Translational Medicine 2024; PC128550N (2024) https://doi.org/10.1117/12.3000133
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
Rapid diagnosis of biopsies, including core-needle biopsy and gastroscopic biopsy, is crucial for clinical decision makings. We applied stimulated Raman scattering (SRS) microscopy on fresh biopsy specimens without fixation, sectioning or staining. We further combined SRS with various deep neural networks for fast histological imaging and automated diagnosis. These include the integration of U-Net for femtosecond-SRS histology, as well as the use of convolutional neural network for histological classifications and gradings. Our results indicated that SRS histology integrated with deep learning algorithm provides potentials for delivering rapid diagnosis that could aid the surgical management of cancers.
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Minbiao Ji "Deep-learning assisted stimulated Raman histology of human biopsy", Proc. SPIE PC12855, Advanced Chemical Microscopy for Life Science and Translational Medicine 2024, PC128550N (13 March 2024); https://doi.org/10.1117/12.3000133
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KEYWORDS
Biopsy
Raman spectroscopy
Cancer
Convolutional neural networks
Decision making
Deep learning
Microscopy
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