DocumentCode :
2736555
Title :
Evaluation and comparison of cell nuclei detection algorithms
Author :
Szénási, Sándor ; Vámossy, Zoltán ; Kozlovszky, Miklós
Author_Institution :
Doctoral Sch. of Appl. Inf., Obuda Univ., Budapest, Hungary
fYear :
2012
fDate :
13-15 June 2012
Firstpage :
469
Lastpage :
475
Abstract :
The processing of microscopic tissue images and especially the detection of cell nuclei is nowadays done more and more using digital imagery and special immunodiagnostic software products. Since several methods (and applications) were developed for the same purpose, it is important to have a measuring number to determine which one is more efficient than the others. The purpose of the article is to develop a generally usable measurement number that is based on the “gold standard” tests used in the field of medicine and that can be used to perform an evaluation using any of image segmentation algorithms. Since interpreting the results themselves can be a pretty time consuming task, the article also contains a recommendation for the efficient implementation and a simple example to compare three algorithms used for cell nuclei detection.
Keywords :
biological tissues; cellular biophysics; image segmentation; medical image processing; medicine; microscopy; object detection; biomedical image processing; cell nuclei detection algorithm; digital imagery; gold standard test; image segmentation algorithm; immunodiagnostic software product; medicine; microscopic tissue image; Accuracy; Algorithm design and analysis; Classification algorithms; Gold; Image segmentation; Standards; Time measurement; K-means; biomedical image processing; nuclei detection; region growing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Engineering Systems (INES), 2012 IEEE 16th International Conference on
Conference_Location :
Lisbon
Print_ISBN :
978-1-4673-2694-0
Electronic_ISBN :
978-1-4673-2693-3
Type :
conf
DOI :
10.1109/INES.2012.6249880
Filename :
6249880
Link To Document :
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