Presentation
10 March 2020 Rapid diagnosis of endoscopic biopsies with deep-learning based SRS histology (Conference Presentation)
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
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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KEYWORDS
Biopsy

Endoscopy

Cancer

Convolutional neural networks

Microscopy

Raman scattering

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