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