L. Peter, N. Brieu, S. Jansen, P. Smethurst, W. Ouwehand , N. Navab Automatic Segmentation and Tracking of Thrombus Formation within In Vitro Microscopic Video Sequences IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2012), Barcelona, Spain, May 2 - 5, 2012 (bib)
	In vitro experiments on human blood samples are crucial to assess correlation between thrombus disorders and genetic variance. A blood flow is drained through collagen fibers resulting in a progressive aggregation of platelets. This paper proposes a method of segmentation of thrombi during such acquisitions. Three complementary gradient-based features are introduced and included in a regularized machine learning framework. A novel tracking method of thrombi as deformable growing objects under split and merge conditions is also introduced.
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