Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
A Survey on Location Recommendation Systems Read chapter Read first chapter

2017 | OriginalPaper | Chapter

A Novel Technique for Segmenting Platelets by k-Means Clustering

Authors : Kaushiki Roy, Ratnadeep Dey, Debotosh Bhattacharjee, Mita Nasipuri, Pramit Ghosh

Published in: Advances in Computing and Data Sciences

Publisher: Springer Singapore

Log in

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

search-config
loading …

Abstract

Platelet is a major component of various blood cells present in blood that helps in clotting of blood. Platelet count often becomes a crucial diagnostic parameter to identify several diseases like dengue, yellow fever, etc. The traditional process of counting platelets by examining blood slides under a conventional optical microscope is subjected to human errors due to manual inspection. In addition, the overhead on pathologist increases manifold when huge numbers of blood samples are to be tested. In this work, we have developed an Android-based mobile app, which takes as input the microscopic image of blood smear and gives as output the total platelet count present in the image. This system reduces the dependency on expert pathologists and avoids manual errors. A comparative study between platelet counts obtained from expert lab technicians and the one given by our developed app have shown it to be robust and efficient for automated platelet counting.

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

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"

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
previous chapter A Comparative Study and Performance Analysis of Classification Techniques: Support Vector Machine, Neural Networks and Decision Trees
next chapter Additive Noise Removal by Combining Non Local Means Filtering and a Local Fuzzy Filter – A Fusion Approach
Literature
1.
2.
3.
Savkare, S.S., Narote, S.P.: Blood cell segmentation from microscopic blood images. In: IEEE International Conference on Information Processing (ICIP), pp. 502–505 (2015)
4.
Sharif, J.M., Miswan, M.F., Ngadi, M.A., Salam, M.S.H., bin Abdul Jamil, M.M.: Red blood cell segmentation using masking and watershed algorithm: a preliminary study. In: International Conference on Biomedical Engineering (ICoBE), pp. 258–262 (2012)
5.
Kareem, S., Morling, R.C.S., Kale, I.: A novel method to count the red blood cells in thin blood films. In: IEEE International Symposium of Circuits and Systems (ISCAS), pp. 1021–1024 (2011)
6.
Deb, N., Chakraborty, S.: A noble technique for detecting anemia through classification of red blood cells in blood smear. In: IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE), pp. 1–9 (2014)
7.
Karunakar, Y., Kuwadekar, A.: An unparagoned application for red blood cell counting using marker controlled watershed algorithm for Android mobile. In: Fifth International Conference on Next Generation Mobile Applications, Services and Technologies, pp. 100–104 (2011)
8.
Duan, J., Yu, L.: A WBC segmentation methord based on HSI color space. In: IEEE International Conference on Broadband Network and Multimedia Technology (IC- BNMT), pp. 629–632 (2011)
9.
Dey, R., Roy, K., Bhattacharjee, D., Nasipuri, M., Ghosh, P.: An automated system for segmenting platelets from microscopic images of blood cells. In: IEEE International Symposium on Advanced Computing and Communication (ISACC), pp. 230–237 (2015)
10.
Dey, R., Roy, K., Bhattacharjee, D., Nasipuri, M., Ghosh, P.: A smart phone based app for automated segmentation and counting of platelets. In: IEEE International Conference on Recent Advances in Information Technology (RAIT), pp. 434–438 (2016)
11.
Nasir, A.S.A., Mashor, M.Y., Rosline, H.: Unsupervised colour segmentation of white blood cell for acute leukaemia images. In: IEEE International Conference on Imaging Systems and Techniques, pp. 142–145 (2011)
12.
13.
14.
15.
16.
17.
Tan, P.-N., Steinbach, M., Kumar, V.: Cluster analysis: basic concepts and algorithms. In: Introduction to Data Mining. Pearson Education India (2006). Chap. 8
18.
Gonzalez, R.C., Woods, R.E.: Digital image fundamentals. In: Digital Image Processing. Pearson Education International (2006). Chap. 2
Metadata
Title
A Novel Technique for Segmenting Platelets by k-Means Clustering
Authors
Kaushiki Roy
Ratnadeep Dey
Debotosh Bhattacharjee
Mita Nasipuri
Pramit Ghosh
Copyright Year
2017
Publisher
Springer Singapore
Book
Advances in Computing and Data Sciences

Print ISBN: 978-981-10-5426-6

Electronic ISBN: 978-981-10-5427-3

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-5427-3_3

Premium Partner

    Image Credits