International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation A Content-Based Image Retrieval for Feature Extraction using Segmentation of MRI Brain Medical images, Authors : Sheetal A.Wadhai , Dr. Seema S. Kawathekar, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
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.
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