A semi-automated volumetric software for segmentation and perfusion parameter quantification of brain tumors using 320-row multidetector computed tomography: a validation study
Crossref DOI link: https://doi.org/10.1007/s00234-017-1790-6
Published Online: 2017-03-24
Published Print: 2017-05
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Chae, Soo Young
Suh, Sangil
Ryoo, Inseon
Park, Arim
Noh, Kyoung Jin
Shim, Hackjoon
Seol, Hae Young
License valid from 2017-03-24