000223616 001__ 223616
000223616 005__ 20190317000606.0
000223616 022__ $$a0278-0062
000223616 02470 $$2ISI$$a000400868100007
000223616 0247_ $$a10.1109/Tmi.2016.2640859$$2doi
000223616 037__ $$aARTICLE
000223616 245__ $$aNetwork Flow Integer Programming to Track Elliptical Cells in Time-Lapse Sequences
000223616 269__ $$a2017
000223616 260__ $$c2017
000223616 300__ $$a10
000223616 336__ $$aJournal Articles
000223616 520__ $$aWe propose a novel approach to automatically tracking elliptical cell populations in time-lapse image sequences. Given an initial segmentation, we account for partial occlusions and overlaps by generating an over-complete set of competing detection hypotheses. To this end, we fit ellipses to portions of the initial regions and build a hierarchy of ellipses, which are then treated as cell candidates. We then select temporally consistent ones by solving to optimality an integer program with only one type of flow variables. This eliminates the need for heuristics to handle missed detections due to partial occlusions and complex morphology. We demonstrate the effectiveness of our approach on a range of challenging sequences consisting of clumped cells and show that it outperforms state-of-the-art techniques.
000223616 6531_ $$acell tracking
000223616 6531_ $$ainteger programming
000223616 6531_ $$anetwork flows
000223616 700__ $$g183992$$aTüretken, Engin$$0242718
000223616 700__ $$g199318$$aWang, Xinchao$$0245095
000223616 700__ $$g211381$$aBecker, Carlos Joaquin$$0245786
000223616 700__ $$aHaubold, Carsten
000223616 700__ $$g112366$$aFua, Pascal$$0240252
000223616 773__ $$q942-951$$k4$$j36$$tTransactions on Medical Imaging (TMI)
000223616 8560_ $$fpascal.fua@epfl.ch
000223616 8564_ $$uhttps://infoscience.epfl.ch/record/223616/files/top_public.pdf$$zPreprint$$s1474228$$yPreprint
000223616 909C0 $$xU10659$$0252087$$pCVLAB
000223616 909CO $$qGLOBAL_SET$$pIC$$ooai:infoscience.tind.io:223616$$particle
000223616 917Z8 $$x199318
000223616 917Z8 $$x112366
000223616 917Z8 $$x148230
000223616 937__ $$aEPFL-ARTICLE-223616
000223616 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000223616 980__ $$aARTICLE