Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/3661
Title: Airborne asbestos fibers detection in microscope images using re-initialization free active contours.
Authors: Tsapatsoulis, Nicolas 
Bujak-Pietrek, Stella
Szadkowska-Stanczyk, Irena
Theodosiou, Zenonas 
Keywords: Asbestos;Active contours;Asbestos fibers;Atmospheric concentration;Automatic counting method;Detection methods;Further development;Geometric active contours;Ground truth;Immune systems;Numerical methods
Category: Engineering and Technology
Issue Date: 2010
Publisher: IEEE
Source: Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE,Pages 4785 - 4788
Abstract: Breathing in asbestos fibers can lead to a number of diseases, the fibers become trapped in the lung and cannot be removed by either coughing or the person's immune system. Atmospheric concentrations of carcinogenic asbestos fibers, have traditionally been measured visually using phase contrast microscopy. However, because this measurement method requires great skill, and has poor reproducibility and objectivity, the development of automatic counting methods has been long anticipated. In this paper we proposed an automated fibers detection method based on a variational formulation of geometric active contours that forces the level set function to be close to signed distance function and therefore completely eliminates the need of the costly re-initialization procedure. The method was evaluated using a ground truth of 29 manually annotated images. The results were encouraging for the further development of the proposed method.
URI: http://ktisis.cut.ac.cy/handle/10488/3661
ISBN: 978-1-4244-4123-5
DOI: 10.1109/IEMBS.2010.5626630
Rights: © IEEE
Type: Book Chapter
Appears in Collections:Κεφάλαια βιβλίων/Book chapters

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