Skip to main content
SpringerLink
Log in

Automatic Identification of Colloid Cyst in Brain Through MRI/CT Scan Images

  • Conference paper
  • First Online:
Smart Technologies in Data Science and Communication

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 105))

Abstract

Brain is the central nervous system in the human body. The life of the human depends on the working condition of the brain. If that brain gets infected with colloid cyst, the life of the human is in risk. It is necessary to identify any disease occurred in brain at early stage to save the life of the human. In this paper, the automatic detection of colloid cyst in brain through MRI/CT scan images using image processing techniques is described in the following section.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. E.E.M. Azhari, M.M. Hatta, Z.Z. Htike, S.L. Win, Brain tumor convergence and services. IJITCS 4(1), 1–11 (2014)

    Article  Google Scholar 

  2. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1550234/. Accessed 03 July 2018

  3. https://en.wikipedia.org/wiki/Image_noise#Low_and_high-ISO_noiseexamples. Accessed 05 July 2018

  4. http://www.mecs-press.org/ijisa/ijisa-v5-n11/IJISA-V5-N11-3.pdf. Accessed 07 July 2018

  5. V. Kshirsagar, J. Panchal, Segmentation of brain tumor and its area calculation. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 4(5), 528–529 (2014)

    Google Scholar 

  6. https://en.wikipedia.org/wiki/Cyst. Accessed 16 July 2018

  7. Q. Javed, A. Dutta, Third ventricular colloid cyst and organic hypomania, in Progress in Neurology and Psychiatry, (2014), p. 18

    Google Scholar 

  8. http://www.medicalnewstoday.com/articles/181727.php. Accessed 17 June 2018

  9. http://www.abta.org/secure/resource-one-sheets/cysts.pdf. Accessed 18 June 2018

  10. http://mstrzel.eletel.p.lodz.pl/mstrzel/pattern_rec/filtering.pdf. Accessed 06 July 2018

  11. D. Hazra, D. Bhattacharyya, H.J. Kim, Detection of colloid cyst in brain through image processing techniques. Int. J. Multimed. Ubiquitous Eng. 11(9), 343–354 (2016)

    Article  Google Scholar 

  12. D. Lavanya, N.T. Rao, D. Bhattacharyya, Generalized detection of colloid cyst in brain using MRI/CT scan images. Int. J. Innov. Technol. Explor. Eng. (IJITEE) 8(4) (2019). ISSN: 2278-3075

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Vignan’s Institute of Information and Technology (A), Visakhapatnam, AP, 530049 , India

    D. Lavanaya, N. Thirupathi Rao & Debnath Bhattacharyya

  2. Harbin University of Commerce, Harbin, China

    Ming Chen

Authors
  1. D. Lavanaya
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. N. Thirupathi Rao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Debnath Bhattacharyya
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ming Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to D. Lavanaya .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Lakehead University, Thunder Bay, ON, Canada

    Jinan Fiaidhi

  2. Department of Computer Science and Engineering, Vignan’s Institute of Information Technology, Visakhapatnam, Andhra Pradesh, India

    Debnath Bhattacharyya

  3. Department of Computer Science and Engineering, Vignan’s Institute of Information Technology, Visakhapatnam, Andhra Pradesh, India

    N. Thirupathi Rao

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lavanaya, D., Rao, N.T., Bhattacharyya, D., Chen, M. (2020). Automatic Identification of Colloid Cyst in Brain Through MRI/CT Scan Images. In: Fiaidhi, J., Bhattacharyya, D., Rao, N. (eds) Smart Technologies in Data Science and Communication. Lecture Notes in Networks and Systems, vol 105. Springer, Singapore. https://doi.org/10.1007/978-981-15-2407-3_6

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-2407-3_6

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2406-6

  • Online ISBN: 978-981-15-2407-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation