000 01846 a2200517 4500
005 20250517033025.0
264 0 _c20160829
008 201608s 0 0 eng d
022 _a1361-8423
024 7 _a10.1016/j.media.2015.03.007
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aDorfer, Matthias
245 0 0 _aAssociating approximate paths and temporal sequences of noisy detections: Application to the recovery of spatio-temporal cancer cell trajectories.
_h[electronic resource]
260 _bMedical image analysis
_cJan 2016
300 _a72-83 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't
650 0 4 _aAlgorithms
650 0 4 _aCell Line, Tumor
650 0 4 _aCell Movement
650 0 4 _aCell Tracking
_xmethods
650 0 4 _aComputer Simulation
650 0 4 _aHumans
650 0 4 _aImage Enhancement
_xmethods
650 0 4 _aImage Interpretation, Computer-Assisted
_xmethods
650 0 4 _aMicroscopy, Phase-Contrast
_xmethods
650 0 4 _aMicroscopy, Video
_xmethods
650 0 4 _aModels, Statistical
650 0 4 _aPattern Recognition, Automated
_xmethods
650 0 4 _aReproducibility of Results
650 0 4 _aSensitivity and Specificity
650 0 4 _aSignal Processing, Computer-Assisted
650 0 4 _aSignal-To-Noise Ratio
650 0 4 _aSpatio-Temporal Analysis
650 0 4 _aStomach Neoplasms
_xpathology
650 0 4 _aSubtraction Technique
700 1 _aKazmar, Tomáš
700 1 _aŠmíd, Matěj
700 1 _aSing, Sanchit
700 1 _aKneißl, Julia
700 1 _aKeller, Simone
700 1 _aDebeir, Olivier
700 1 _aLuber, Birgit
700 1 _aMattes, Julian
773 0 _tMedical image analysis
_gvol. 27
_gp. 72-83
856 4 0 _uhttps://doi.org/10.1016/j.media.2015.03.007
_zAvailable from publisher's website
999 _c24913457
_d24913457