Volume & Issue no: Volume 10, Issue 2, March - April 2021
____________________________________________________________________________________________________
Title: |
A Content-Based Image Retrieval for Feature Extraction using Segmentation of MRI Brain Medical images |
Author Name: |
Sheetal A.Wadhai , Dr. Seema S. Kawathekar |
Abstract: |
Abstract: This paper presents Medical image retrieval are
retrieved current image in the database with patients full
information and previous history which can be used for the
proper diagnosis patients. Propose method of a content-based
image retrieval system by using the new idea of Simply tumor
detection using segmentation algorithm and Feature extraction
techniques. In the present work, CBIR is used for finding
similar patients having Brain tumors or not and which type of
tumor and detected the tumor size. The Previous method and
comparing the images of the area of interest of a present patient
with the complete series of the image of a past patient history
can help in early diagnosis of the disease. Segmentation method
into image retrieval to simulate these properties of brain tumor
detection separation a tumor and then after shape and method
experiment demonstrates the efficiency and feasibility of our
proposed algorithms and feature extraction technique.
Keywords: Feature extraction, Image retrieval, Image
Database, segmentation, Thresholding, |
Cite this article: |
Sheetal A.Wadhai , Dr. Seema S. Kawathekar , "
A Content-Based Image Retrieval for Feature Extraction using Segmentation of MRI Brain Medical images" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 10, Issue 2, March - April 2021 , pp.
016-021 , ISSN 2278-6856.
|
| Full Text [PDF] Back to Current Issue | |
NOTE: Authors note that paper cannot be withdrawn at any condition once it is accepted. The Team of IJETTCS advise you, do not submit same article to the multiple journals simultaneously. This may create a problem for you. Please wait for review report which will take maximum 01 to 02 week.