000 01491 a2200433 4500
005 20250517225528.0
264 0 _c20190624
008 201906s 0 0 eng d
022 _a1558-254X
024 7 _a10.1109/TMI.2018.2804799
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aCommandeur, Frederic
245 0 0 _aDeep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT.
_h[electronic resource]
260 _bIEEE transactions on medical imaging
_c08 2018
300 _a1835-1846 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, N.I.H., Extramural
650 0 4 _aAdipose Tissue
_xdiagnostic imaging
650 0 4 _aAged
650 0 4 _aDeep Learning
650 0 4 _aFemale
650 0 4 _aHumans
650 0 4 _aImage Processing, Computer-Assisted
_xmethods
650 0 4 _aMale
650 0 4 _aMiddle Aged
650 0 4 _aPericardium
_xdiagnostic imaging
650 0 4 _aThorax
_xdiagnostic imaging
650 0 4 _aTomography, X-Ray Computed
_xmethods
700 1 _aGoeller, Markus
700 1 _aBetancur, Julian
700 1 _aCadet, Sebastien
700 1 _aDoris, Mhairi
700 1 _aChen, Xi
700 1 _aBerman, Daniel S
700 1 _aSlomka, Piotr J
700 1 _aTamarappoo, Balaji K
700 1 _aDey, Damini
773 0 _tIEEE transactions on medical imaging
_gvol. 37
_gno. 8
_gp. 1835-1846
856 4 0 _uhttps://doi.org/10.1109/TMI.2018.2804799
_zAvailable from publisher's website
999 _c28620274
_d28620274