Deep learning-based automated segmentation of resection cavities on postsurgical epilepsy MRI

Author:

Arnold T. Campbell,Muthukrishnan Ramya,Pattnaik Akash R.,Sinha Nishant,Gibson Adam,Gonzalez Hannah,Das Sandhitsu R.,Litt Brian,Englot Dario J.,Morgan Victoria L.,Davis Kathryn A.,Stein Joel M.

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging

Reference43 articles.

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3. A Methodology for systematic volumetric analysis of perioperative cranial imaging in neurosurgical patients;Atsina;JHN J. Thomas Jefferson University,2016

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5. Bakas S, Reyes M, Jakab A, et al. Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. 2018; http://arxiv.org/abs/1811.026Accessed July 18, 2019.

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