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

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

Accurate segmentation of surgical resection sites is critical for clinical assessments and neuroimaging research applications, including resection extent determination, predictive modeling of surgery outcome, and masking image processing near resection sites. In this study, an automated resection ca...

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Bibliographic Details
Main Authors: T. Campbell Arnold, Ramya Muthukrishnan, Akash R. Pattnaik, Nishant Sinha, Adam Gibson, Hannah Gonzalez, Sandhitsu R. Das, Brian Litt, Dario J. Englot, Victoria L. Morgan, Kathryn A. Davis, MD, Joel M. Stein
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:NeuroImage: Clinical
Subjects:
Postoperative MRI
Temporal lobe epilepsy
Resection cavity
Automated segmentation
Convolutional neural network
Hippocampal remnant
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158222002194

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http://www.sciencedirect.com/science/article/pii/S2213158222002194

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