Rapid diagnosis of endoscopic biopsies with deep-learning based SRS histology (Conference Presentation)

Minbiao Ji

doi:10.1117/12.2547217

10 March 2020 Rapid diagnosis of endoscopic biopsies with deep-learning based SRS histology (Conference Presentation)

Minbiao Ji

Proceedings Volume 11252, Advanced Chemical Microscopy for Life Science and Translational Medicine; 1125214 (2020) https://doi.org/10.1117/12.2547217
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

Rapid diagnosis on endoscopic biopsies is crucial for decision makings during gastrointestinal endoscopy. We applied stimulated Raman scattering (SRS) microscopy on fresh biopsy specimens without fixation, sectioning or staining. We further combined SRS with deep convolutional neural network for automated diagnosis of early gastric cancer. Our preliminary results indicated that SRS histology integrated with deep learning algorithm provides potential for delivering rapid diagnosis that could aid the surgical management of gastric cancer.

Conference Presentation

Citation Download Citation

Minbiao Ji "Rapid diagnosis of endoscopic biopsies with deep-learning based SRS histology (Conference Presentation)", Proc. SPIE 11252, Advanced Chemical Microscopy for Life Science and Translational Medicine, 1125214 (10 March 2020); https://doi.org/10.1117/12.2547217

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