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

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.