Top

Neural Computing and Applications

Published in:

02-05-2018 | Original Article

Effective segmentations in white blood cell images using \(\epsilon \)-SVR-based detection method

Authors: Feilong Cao, Yuehua Liu, Zhen Huang, Jianjun Chu, Jianwei Zhao

Published in: Neural Computing and Applications | Issue 10/2019

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

White blood cell (WBC) image detection plays an important role in automatic morphological systems since it can simplify and facilitate WBC segmentation and classification procedures. However, existing WBC detection methods mainly rely on the location of the nucleus, which is found difficult to achieve accurate detection results. This paper proposes a novel WBC detection algorithm through sliding windows with varying sizes to traverse the image for candidates. Three cues are explored to measure the candidates, and a combined cue is used as a single output to distinguish positives from negatives. The \(\epsilon \)-support vector regression is employed to determine the detection window from the candidates. In this paper, two applications of the proposed WBC detection approach are carried out, including an adaptive thresholding algorithm based on WBC detection for nucleus segmentation from images and target detection to lessen the users’ interaction for automatic cytoplasm segmentation.

previous article Global asymptotical stability for a class of non-autonomous impulsive inertial neural networks with unbounded time-varying delay

next article Dynamical regularized echo state network for time series prediction

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Sadeghian F, Seman Z, Ramli AR, Kahar BA, Saripan M-I (2009) A framework for white blood cell segmentation in microscopic blood images using digital image processing. Biol Proced Online 11(1):196–206CrossRef

Rezatofighi SH, Soltanian-Zadeh H (2011) Automatic recognition of five types of white blood cells in peripheral blood. Comput Med Image Graph 35(4):333–343CrossRef

Hiremath P, Bannigidad P, Geeta S (2010) Automated identification and classification of white blood cells (leukocytes) in digital microscopic images. Int J Comput Appl 2:59–63

Chinwaraphat S, Sanpanich A, Pintavirooj C, Sangworasil M, Tosranon P (2008) A modified fuzzy clustering for white blood cell segmentation. In: Proceeding of 3rd international symposium biomedical engineering, pp 356–359

Jiang K, Liao QM, Dai S-Y (2003) A novel white blood cell segmentation scheme using scale-space filtering and watershed clustering. In: Proceeding of international conference machine Learning cybernetics, vol 5, pp 2820–2825

Mohapatra S, Patra D, Kumar S, Satpathy S (2012) Lymphocyte image segmentation using functional link neural architecture for acute leukemia detection. Biomed Eng Lett 2(2):100–110CrossRef

Putzu L, Caocci G, Di Ruberto C (2014) Leucocyte classification for leukaemia detection using image processing techniques. Artif Intell Med 62(3):179–191CrossRef

Wu J, Zeng P, Zhou Y Olivier C (2006) A novel color image segmentation method and its application to white blood cell image analysis. In: Proceeding of 8th international conference of signal processing, vol 2

Ko BC, Gim JW, Nam J-Y (2011) Automatic white blood cell segmentation using stepwise merging rules and gradient vector flow snake. Micron 42(7):695–705CrossRef

10.

Pan C, Park DS, Yang Y (2012) Leukocyte image segmentation by visual attention and extreme learning machine. Neural Comput Appl 21(6):1217–1227CrossRef

11.

Cao F, Cai M, Chu J, Zhao J, Zhou Z (2016) A novel segmentation algorithm for nucleus in white blood cells based on low-rank representation. Neural Comput Appl. https://doi.org/10.1007/s00521-016-2391-8 CrossRef

12.

Rezatofighi S, Soltanian-Zadeh H, Sharifia R, Zoroofi R (2009) A new approach to white blood cell nucleus segmentation based on Gram-Schmidt orthogonalization. In: Proceeding of international conference digital image processing, pp 107–111

13.

Xu C, Prince JL (1998) Snakes, shapes, and gradient vector flow. IEEE Trans Image Process 7(3):359–369MathSciNetCrossRef

14.

Felzenszwalb P, Girshick R, McAllester D, Ramanan D (2010) Object detection with discriminatively trained part-based models. IEEE Trans Pattern Anal Mach Intell 32(9):1627–1645CrossRef

15.

Lampert CH, Blaschko M, Hofmann T (2008) Beyond sliding windows: object localization by efficient subwindow search. In: Proceeding of IEEE conference computer vision pattern recognition (CVPR), pp 1–8

16.

Dalal N, Triggs B (2005) Histograms of oriented gradients for human detection. In: Proceeding of IEEE conference of computer vision pattern recognition (CVPR), vol 1, pp 886–893

17.

Alexe B, Deselaers T, Ferrari V (2012) Measuring the objectness of image windows. IEEE Trans Pattern Anal Mach Intell 34(11):2189–2202CrossRef

18.

Alexe B, Deselaers T, Ferrari V (2010) What is an object? In: Proceeding of IEEE conference computer vision pattern recognition (CVPR), pp 73–80

19.

Rother C, Kolmogorov V, Blake A (2004) Grabcut: interactive foreground extraction using iterated graph cuts. ACM Trans Graph (TOG) 23:309–314CrossRef

20.

Handin RI, Lux SE, Stossel TP (2003) Blood: principles and practice of hematology, vol 1. Lippincott Williams & Wilkins, Philadelphia

21.

Canny J (1986) A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell 8(6):679–698CrossRef

22.

Vapnik VN (1998) Statistical learning theory, vol 2. Wiley, New YorkMATH

23.

Gonzalez R, Woods R (2008) Digital image processing. Pearson/Prentice Hall, Upper Saddle River

24.

Di Ruberto C, Dempster A, Khan S, Jarra B (2002) Analysis of infected blood cell images using morphological operators. Image Vis Comput 20(2):133–146CrossRef

25.

Chang C-C, Lin C-J (2011) LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol 2:1–27CrossRef

26.

Chinchor N, Sundheim B (1993) Muc-5 evaluation metrics. In: Proceeding of 5th conference of message understanding, pp 69–78

27.

Sasaki Y (2007) The truth of the f-measure. Teach Tut Mater Version

28.

Tareef A, Song Y, Cai W, Wang Y, Feng DD, Chen M (2016) Automatic nuclei and cytoplasm segmentation of leukocytes with color and texture-based image enhancement. In: 13th IEEE international symposium on biomedical imaging, pp 935–938

Title: Effective segmentations in white blood cell images using -SVR-based detection method
Authors: Feilong Cao
Yuehua Liu
Zhen Huang
Jianjun Chu
Jianwei Zhao
Publication date: 02-05-2018
Publisher: Springer London
Published in: Neural Computing and Applications / Issue 10/2019
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-018-3480-7

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Other articles of this Issue 10/2019

Structure regularized self-paced learning for robust semi-supervised pattern classification

Single-label and multi-label conceptor classifiers in pre-trained neural networks

Adaptive synchronization of stochastic complex dynamical networks and its application

A BBO-based algorithm for slope stability analysis by locating critical failure surface

Deep transfer learning for military object recognition under small training set condition

An adaptive mechanism to achieve learning rate dynamically

Premium Partner