UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 5 | May 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 7 Issue 5
May-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIRDV06017


Registration ID:
231863

Page Number

71-74

Share This Article


Jetir RMS

Title

Segmentation Of Medical Images

Abstract

Breast cancer is the most prevailing type of cancer in women and men in andaround the world and mostly in India. Breast cancer is growing as one ofthe most chronic diseases of this age, because ofinadequate of advancementin medical field pathologists perform qualitative analysis of tissues throughvisual inspection. This could produce subjective results and is not suitablefor large scale processing. The prediction of the accurate percentage of canceron H and E image is not convincing able. H and E -Hematoxylin and Eosinis a conventional, highly seasoned method that allows the localization ofan antigen within a cell or a tissue with high resolution. H and E imagesare used for disease diagnose, biological researchers and drug development.The methodology used is the neural network (NN) to segment H and Eimages to acquire the quantitative measurements of the stained nucleus forthe determination of over-expressed HER2 protein.

Key Words

Segmentation Of Medical Images

Cite This Article

"Segmentation Of Medical Images ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.71-74, May-2020, Available :http://www.jetir.org/papers/JETIRDV06017.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Segmentation Of Medical Images ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp71-74, May-2020, Available at : http://www.jetir.org/papers/JETIRDV06017.pdf

Publication Details

Published Paper ID: JETIRDV06017
Registration ID: 231863
Published In: Volume 7 | Issue 5 | Year May-2020
DOI (Digital Object Identifier):
Page No: 71-74
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0003133

Print This Page

Current Call For Paper

Jetir RMS