• Register
  • Login

European Journal of Molecular & Clinical Medicine

  • Home
  • Browse
    • Current Issue
    • By Issue
    • By Subject
    • Keyword Index
    • Author Index
    • Indexing Databases XML
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Publication Ethics
    • Indexing and Abstracting
    • Peer Review Process
    • News
  • Guide for Authors
  • Submit Manuscript
  • Contact Us
Advanced Search

Notice

As part of Open Journals’ initiatives, we create website for scholarly open access journals. If you are responsible for this journal and would like to know more about how to use the editorial system, please visit our website at https://ejournalplus.com or
send us an email to info@ejournalplus.com

We will contact you soon

  1. Home
  2. Volume 7, Issue 4
  3. Authors

Online ISSN: 2515-8260

Volume7, Issue4

Segmentation of Images in Medical Field using Machine Learning Integrated Approaches

    Manoj Kumar Neeraj Varshney

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 54-58

  • Show Article
  • Download
  • Cite
  • Statistics
  • Share

Abstract

Now a day’s people are mostly affected by tumors. so, the major intend of this paper is to identify the tumor in a body and detecting the nearest area effected and that will be done by using machine learning with region-based energetic contour model, region based active contour model is efficient in dividing images by badly distinct boundaries but frequently not succeed while functional image surrounding intensity in homogeneity. Machine learning approaches are extremely efficient in conducting the homogeneity, but frequently consequences in noises from miss confidential pixels. Therefore, proposed system point out the integration of the machine learning region based active contour of the k-nearest neighbors and the support vector machine with the chanvese technique, and by comparing this result with the traditional technique of chan-vese technique. Better exactness, velocity and less compassion to constraint tuning which are being observed in this paper.
Keywords:
    active counter model k-Nearest Neighbor machine learning approach segmenting chan-vese method
  • PDF (271 K)
  • XML
(2020). Segmentation of Images in Medical Field using Machine Learning Integrated Approaches. European Journal of Molecular & Clinical Medicine, 7(4), 54-58.
Manoj Kumar; Neeraj Varshney. "Segmentation of Images in Medical Field using Machine Learning Integrated Approaches". European Journal of Molecular & Clinical Medicine, 7, 4, 2020, 54-58.
(2020). 'Segmentation of Images in Medical Field using Machine Learning Integrated Approaches', European Journal of Molecular & Clinical Medicine, 7(4), pp. 54-58.
Segmentation of Images in Medical Field using Machine Learning Integrated Approaches. European Journal of Molecular & Clinical Medicine, 2020; 7(4): 54-58.
  • RIS
  • EndNote
  • BibTeX
  • APA
  • MLA
  • Harvard
  • Vancouver
  • Article View: 109
  • PDF Download: 188
  • LinkedIn
  • Twitter
  • Facebook
  • Google
  • Telegram
Journal Information

Publisher:

Email:  editor.ejmcm21@gmail.com

  • Home
  • Glossary
  • News
  • Aims and Scope
  • Privacy Policy
  • Sitemap

 

For Special Issue Proposal : editor.ejmcm21@gmail.com

This journal is licensed under a Creative Commons Attribution 4.0 International (CC-BY 4.0)

Powered by eJournalPlus