A probabilistic approach to joint cell tracking and segmentation in high-throughput microscopy videos

Author:

Arbelle Assaf,Reyes Jose,Chen Jia-Yun,Lahav Galit,Riklin Raviv TammyORCID

Funder

Israel Science Foundation

NIH

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference53 articles.

1. Joint cell segmentation and tracking using cell proposals;Akram,2016

2. Fast, accurate reconstruction of cell lineages from large-scale fluorescence microscopy data;Amat;Nat. Methods,2014

3. Analysis of High Throughput Micrscopy Videos: Catching up with Cell Dynamics;Arbelle,2015

4. Cell segmentation and tracking in phase contrast images using graph cut with asymmetric boundary costs;Bensch,2015

5. Efficient globally optimal segmentation of cells in fluorescence microscopy images using level sets and convex energy functionals;Bergeest;Med. Image Anal,2012

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