OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology.

ABSTRACT: Accurate intraoperative diagnosis is essential for providing safe and effective care during brain tumor surgery. Our standard-of-care diagnostic methods are time, resource, and labor intensive, which restricts access to optimal surgical treatments. To address these limitations, we propose an alternative workflow that combines stimulated Raman histology (SRH), a rapid optical imaging method, with deep learning-based automated interpretation of SRH images for intraoperative brain tumor diagnosis and real-time surgical decision support. Here, we present OpenSRH, the first public dataset of clinical SRH images from 300+ brain tumors patients and 1300+ unique whole slide optical images. OpenSRH contains data from the most common brain tumors diagnoses, full pathologic annotations, whole

SUBMITTER: Jiang C 

PROVIDER: S-EPMC10114931 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature