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

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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.
© 2020 The Author(s). Published with license by Taylor & Francis Group, LLC.