Open AccessResectVol: A tool to automatically segment and characterize lacunas in brain images
Author(s) -
Casseb Raphael F.,
Campos Brunno M.,
MoritaSherman Marcia,
Morsi Amr,
Kondylis Efstathios,
Bingaman William E.,
Jones Stephen E.,
Jehi Lara,
Cendes Fernando
Publication year - 2021
Publication title -
epilepsia open
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.247
H-Index - 16
ISSN - 2470-9239
DOI - 10.1002/epi4.12546
Subject(s) - computer science , segmentation , artificial intelligence , surgical planning , sørensen–dice coefficient , graphical user interface , epilepsy surgery , pipeline (software) , computer vision , pattern recognition (psychology) , image segmentation , epilepsy , radiology , medicine , psychiatry , programming language
To assess and validate the performance of a new tool developed for segmenting and characterizing lacunas in postoperative MR images of epilepsy patients.