Survey on Techniques and Image Modalities in Content Based Medical Image Retrieval

Author:

Rani Shetty 1,Dr. Vandana S. Bhat 2,Dr. Jagadeesh Pujari 2

Affiliation:

1. Computer Science, SDM college of Engineering and Technology, Dharwad, Karnataka, India

2. Information Science, SDM college of Engineering and Technology, Dharwad, Karnataka, India

Abstract

The tremendous increase in medical images in the healthcare sector has given rise to the term CBMIR(Content-Based Medical Image Retrieval). CBMIR is said to ease the job of a physician in searching and retrieving similar images for a given query image. This helps in the detection and diagnosis of diseases in human body parts at the early stage. Due to the rapid increase in medical image databases searching and retrieving images similar to that of the query image from a huge database is a challenging task. A Survey on various CBMIR techniques that are used for retrieving biomedical images is given in this paper. This includes a literature survey of over more than 100 contributions to the field of content based medical image retrieval techniques. The major focus is on the techniques based on the representation of images visually in the medical field rather than annotated images.

Publisher

Technoscience Academy

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3