@inproceedings{a8a69e6d1d5541009aded57055aa9978,
title = "Automatic segmentation and tracking of thrombus formation within in vitro microscopic video sequences",
abstract = "There is a need to more accurately link human genetic variance with thrombotic risk. Thrombus formation results from adhesion of blood platelets to a site of injury, followed by their progressive aggregation and occasional embolization. To observe this in vitro, blood is perfused over a surface of collagen fibres, during video microscopy. This paper proposes three complementary gradient-based features which, if included in a regularized machine learning framework, yield the accurate segmentation of thrombi during such acquisitions. A novel tracking method of thrombi as deformable growing objects under split and merge conditions is also introduced.",
keywords = "Microscopy image analysis, segmentation, supervised classification, thrombus formation, tracking",
author = "Loic Peter and Nicolas Brieu and Sjoert Jansen and Smethurst, \{Peter A.\} and Ouwehand, \{Willem H.\} and Nassir Navab",
year = "2012",
doi = "10.1109/ISBI.2012.6235890",
language = "English",
isbn = "9781457718588",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "1635--1638",
booktitle = "2012 9th IEEE International Symposium on Biomedical Imaging",
note = "9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 ; Conference date: 02-05-2012 Through 05-05-2012",
}