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A Survey on Medical Image Analysis using Image Descriptors Methods

Published on July 2016 by Jyoti Patil, G. Pradeepini, Sunayana Mane
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International Conference on Internet of Things, Next Generation Networks and Cloud Computing
Foundation of Computer Science USA
ICINC2016 - Number 2
July 2016
Authors: Jyoti Patil, G. Pradeepini, Sunayana Mane
6aeb9a64-519c-4ff7-b452-441a82fe0e54

Jyoti Patil, G. Pradeepini, Sunayana Mane . A Survey on Medical Image Analysis using Image Descriptors Methods. International Conference on Internet of Things, Next Generation Networks and Cloud Computing. ICINC2016, 2 (July 2016), 7-13.

@article{
author = { Jyoti Patil, G. Pradeepini, Sunayana Mane },
title = { A Survey on Medical Image Analysis using Image Descriptors Methods },
journal = { International Conference on Internet of Things, Next Generation Networks and Cloud Computing },
issue_date = { July 2016 },
volume = { ICINC2016 },
number = { 2 },
month = { July },
year = { 2016 },
issn = 0975-8887,
pages = { 7-13 },
numpages = 7,
url = { /proceedings/icinc2016/number2/25529-4800/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Internet of Things, Next Generation Networks and Cloud Computing
%A Jyoti Patil
%A G. Pradeepini
%A Sunayana Mane
%T A Survey on Medical Image Analysis using Image Descriptors Methods
%J International Conference on Internet of Things, Next Generation Networks and Cloud Computing
%@ 0975-8887
%V ICINC2016
%N 2
%P 7-13
%D 2016
%I International Journal of Computer Applications
Abstract

With the tremendous growth in the use of biomedical literature, practitioners have to analyze day to day generated 3D medical images of sonography, MRI scan, CT scan. The idea behind this survey is to study different 3D image concepts and processing methods which will help to create model of 3D image analysis, retrieval in the field of medical domain. A new technique like Hadoop'sMapReduce is used to achieve parallelism in Image processing methods which leads to quick and accurate diagnosis. This paper focuses on study of different 3D image processing methods which can be parallelized using Hadoop framework. This will help readers in choosing appropriate method or methods in their development or research activity.

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Index Terms

Computer Science
Information Sciences

Keywords

Scale Invariant Feature Transform (sift) Speeded Up Robust Feature (surf) Bag-of-visual Words (bovw) Color And Edge Directivity Descriptor (cedd) Fuzzy Color Histogram.