000 01459 a2200385 4500
005 20250517221406.0
264 0 _c20190606
008 201906s 0 0 eng d
022 _a1361-8423
024 7 _a10.1016/j.media.2018.05.003
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aXu, Yongchao
245 0 0 _aThe challenge of cerebral magnetic resonance imaging in neonates: A new method using mathematical morphology for the segmentation of structures including diffuse excessive high signal intensities.
_h[electronic resource]
260 _bMedical image analysis
_c08 2018
300 _a75-94 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't
650 0 4 _aBrain
_xanatomy & histology
650 0 4 _aHumans
650 0 4 _aImage Interpretation, Computer-Assisted
_xmethods
650 0 4 _aInfant, Newborn
650 0 4 _aInfant, Premature
650 0 4 _aMagnetic Resonance Imaging
_xmethods
650 0 4 _aNeuroimaging
_xmethods
650 0 4 _aWhite Matter
_xanatomy & histology
700 1 _aMorel, Baptiste
700 1 _aDahdouh, Sonia
700 1 _aPuybareau, Élodie
700 1 _aVirzì, Alessio
700 1 _aUrien, Héléne
700 1 _aGéraud, Thierry
700 1 _aAdamsbaum, Catherine
700 1 _aBloch, Isabelle
773 0 _tMedical image analysis
_gvol. 48
_gp. 75-94
856 4 0 _uhttps://doi.org/10.1016/j.media.2018.05.003
_zAvailable from publisher's website
999 _c28481010
_d28481010