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RESECT-SEG: Open access annotations of intra-operative brain tumor ultrasound images. (arXiv:2207.07494v1 [physics.med-ph])
July 18, 2022, 1:12 a.m. | Bahareh Behboodi, Francois-Xavier Carton, Matthieu Chabanas, Sandrine De Ribaupierre, Ole Solheim, Bodil K. R. Munkvold, Hassan Rivaz, Yiming Xiao, In
cs.CV updates on arXiv.org arxiv.org
Purpose: Registration and segmentation of magnetic resonance (MR) and
ultrasound (US) images play an essential role in surgical planning and
resection of brain tumors. However, validating these techniques is challenging
due to the scarcity of publicly accessible sources with high-quality ground
truth information. To this end, we propose a unique annotation dataset of tumor
tissues and resection cavities from the previously published RESECT dataset
(Xiao et al. 2017) to encourage a more rigorous assessments of image processing
techniques. Acquisition and …
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