An automated tissue-to-diagnosis pipeline using intraoperative stimulated Raman histology and deep learning

Abstract

We recently developed and validated a bedside tissue-to-diagnosis pipeline using stimulated Raman histology (SRH), a label-free optical imaging method, and deep convolutional neural networks (CNN) in prospective clinical trial. Our CNN learned a hierarchy of interpretable histologic features found in the most common brain tumors and was able to accurately segment cancerous regions in SRH images.

Keywords

• stimulated raman histology
• deep learning
• convolutional neural networks
• label-free imaging