Using the monogenic signal for cell-background classification in bright-field microscope images

Informatik aktuell

Volumn , Issue , 2013, Pages 170-174

  Mualla, Firas ^a   Schöll, Simon ^a,b   Sommerfeldt, Björn ^a   Hornegger, Joachim ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^b ASTRUM IT GmbH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CELL CULTURE; CYTOLOGY; DECISION TREES; IMAGE PROCESSING; RADIAL BASIS FUNCTION NETWORKS;

CLASSIFICATION RATES; IMAGE CONTRASTS; MICROSCOPE IMAGES; MONOGENIC SIGNAL; RADIAL BASIS FUNCTION KERNELS; RANDOM FOREST CLASSIFIER; SUPPORT VECTOR MACHINE CLASSIFIERS; TRANSPORT OF INTENSITY EQUATION (TIE);

CELLS;

EID: 84923797644     PISSN: 1431472X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-642-36480-8_31     Document Type: Conference Paper

References (10)

1. Jesper Sjöström P, Frydel BR, Wahlberg LU. Artificial neural network-aided image analysis system for cell counting. Cytometry. 1999;36(1):18–26.
2. Nattkemper TW, Ritter H, Schubert W. Extracting patterns of lymphocyte fluorescence from digital microscope images. Intell Data Anal Med Pharmacol. 1999;99:79–88.
3. Long X, Cleveland WL, Yao YL. A new preprocessing approach for cell recognition. IEEE Trans Inf Technol Biomed. 2005;9(3):407–12.
4. Long X, Cleveland WL, Yao YL. Automatic detection of unstained viable cells in bright field images using a support vector machine with an improved training procedure. Comput Biol Med. 2006;36(4):339–62.
5. Agero U, Monken CH, Ropert C, et al. Cell surface fluctuations studied with defocussing microscopy. Phys Rev E. 2003;67(5):051904.
6. Ali R, Gooding M, Szilágyi T, et al. Automatic segmentation of adherent biological cell boundaries and nuclei from bright-field microscopy images. Mach Vis Appl. 2012;23(4):607–621.
7. Ali R, Szilagyi T, Gooding M, et al. On the use of low-pass filters for image processing with inverse Laplacian models. J Math Imaging Vis. 2010; p. 1–10.
8. Teague MR. Deterministic phase retrieval: a Green’s function solution. J Opt Soc Am. 1983;73(11):1434–41.
9. Felsberg M, Sommer G. The monogenic signal. IEEE Trans Signal Process. 2001;49(12):3136–44.
10. Khoshgoftaar TM, Golawala M, Van Hulse J. An empirical study of learning from imbalanced data using random forest. Proc IEEE Int Conf Tool Artif Intell. 2007; p. 310–7.