Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks
Abstract
Intraoperative diagnosis is essential for providing safe and effective care during cancer surgery1. The existing workflow for intraoperative diagnosis based on hematoxylin and eosin staining of processed tissue is time, resource and labor intensive2,3. Moreover, interpretation of intraoperative histologic images is dependent on a contracting, unevenly distributed, pathology workforce4. In the present study, we report a parallel workflow that...
Paper Details
Title
Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks
Published Date
Jan 1, 2020
Journal
Volume
26
Issue
1
Pages
52 - 58
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