000 01590 a2200409 4500
005 20250516225617.0
264 0 _c20150604
008 201506s 0 0 eng d
022 _a1872-7565
024 7 _a10.1016/j.cmpb.2014.07.005
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aHan, Dongjin
245 0 0 _aA fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTA.
_h[electronic resource]
260 _bComputer methods and programs in biomedicine
_cNov 2014
300 _a179-88 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't
650 0 4 _aArtificial Intelligence
650 0 4 _aComputer Systems
650 0 4 _aCoronary Angiography
_xmethods
650 0 4 _aCoronary Artery Disease
_xdiagnostic imaging
650 0 4 _aCoronary Vessels
_xdiagnostic imaging
650 0 4 _aHumans
650 0 4 _aPattern Recognition, Automated
_xmethods
650 0 4 _aRadiographic Image Enhancement
_xmethods
650 0 4 _aRadiographic Image Interpretation, Computer-Assisted
_xmethods
650 0 4 _aReproducibility of Results
650 0 4 _aSensitivity and Specificity
650 0 4 _aTomography, X-Ray Computed
_xmethods
700 1 _aDoan, Nam-Thai
700 1 _aShim, Hackjoon
700 1 _aJeon, Byunghwan
700 1 _aLee, Hyunna
700 1 _aHong, Youngtaek
700 1 _aChang, Hyuk-Jae
773 0 _tComputer methods and programs in biomedicine
_gvol. 117
_gno. 2
_gp. 179-88
856 4 0 _uhttps://doi.org/10.1016/j.cmpb.2014.07.005
_zAvailable from publisher's website
999 _c24082875
_d24082875