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OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology. (arXiv:2206.08439v1 [eess.IV])
Web: http://arxiv.org/abs/2206.08439
June 20, 2022, 1:10 a.m. | Cheng Jiang, Asadur Chowdury, Xinhai Hou, Akhil Kondepudi, Christian W. Freudiger, Kyle Conway, Sandra Camelo-Piragua, Daniel A. Orringer, Honglak Lee
cs.LG updates on arXiv.org arxiv.org
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 …
More from arxiv.org / cs.LG updates on arXiv.org
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