• 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

Multi-Stage Classification Technique for Breast Cancer Detection in Histopathology Images using Deep Learning

    Nagamani Gonthina C. Jagadeeswari Prabhavathi V Sneha B

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 1104-1110

  • Show Article
  • Download
  • Cite
  • Statistics
  • Share

Abstract

This research paper proposes the past decenary, substantial improvement in computational ability and betterment in algorithms for analysis of Images has gained vast fame in resolving challenges in the area of medical diagnosis. Subsequently, computerized tissue histopathology at present is becoming tractable towards the implementation of digitized analysis of images and deep learning methods. Cancer is a cluster of disorders involving irregular cell maturation with the capability to conquer or proliferate to other organs of the body. Detection of cancer in the earlier stages is a exacting task due to which many people are prone to death. Treatment of cancer benefits from the pace, perfection of Deep Learning-obliged practice of diagnosis. Deep Learning techniques are utilized to diagnose the features of progressed carcinoma with enhanced perfection compared to individual pathologist. This paper suggests a deep convolution neural network for categorizing a tissue as malicious, there after segregate the tissue then ultimately perform multi-class detection and classification of Breast Cancer disease and its stages in histopathology images
Keywords:
    Histopathology image analysis Deep Learning Convolution Neural Network
  • PDF (271 K)
  • XML
(2020). Multi-Stage Classification Technique for Breast Cancer Detection in Histopathology Images using Deep Learning. European Journal of Molecular & Clinical Medicine, 7(4), 1104-1110.
Nagamani Gonthina; C. Jagadeeswari; Prabhavathi V; Sneha B. "Multi-Stage Classification Technique for Breast Cancer Detection in Histopathology Images using Deep Learning". European Journal of Molecular & Clinical Medicine, 7, 4, 2020, 1104-1110.
(2020). 'Multi-Stage Classification Technique for Breast Cancer Detection in Histopathology Images using Deep Learning', European Journal of Molecular & Clinical Medicine, 7(4), pp. 1104-1110.
Multi-Stage Classification Technique for Breast Cancer Detection in Histopathology Images using Deep Learning. European Journal of Molecular & Clinical Medicine, 2020; 7(4): 1104-1110.
  • RIS
  • EndNote
  • BibTeX
  • APA
  • MLA
  • Harvard
  • Vancouver
  • Article View: 229
  • PDF Download: 273
  • 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