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Similarity of Medical Images Computed from Global Feature Vectors for Content-Based Retrieval
[chapter]
2004
Lecture Notes in Computer Science
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Global features describe the image content by a small number of numerical values, which are usually combined into a vector of less than 1,024 components. ...
Since color is not present in most medical images, grey-scale and texture features are analyzed in order to distinguish medical imagery from various modalities. ...
Introduction For efficient computation of image similarity, a set of global features is extracted from each of the images and combined to a feature vector. ...
doi:10.1007/978-3-540-30133-2_131
fatcat:3fxjsljq2fdqhmo6mnvikhts5a
Content based Image Retrieval for Medical Images using Canny Edge Detection Algorithm
2011
International Journal of Computer Applications
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This paper aims to provide an efficient medical image data Retrieval from a huge content of medical database using one of the images content such as image shape, because, efficient content-based image ...
The main objective of this paper is to provide an efficient tool which is used for efficient medical image retrieval from a huge content of medical image database and which is used for further medical ...
Image Indexing Content-based image retrieval (CBIR) aims at searching image databases for specific images that are similar to a given query image based on matching of features derived from the image content ...
doi:10.5120/2222-2831
fatcat:ixojrq2yrbedtj5uwzhquk7g7q
Global Neighbour Preserving Local Ternary Co-Occurrence Pattern (GNPLTCoP) for Ultrasound Kidney Images Retrieval
2015
Indian Journal of Science and Technology
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Objectives: This work proposes a feature extraction procedure named as Global Neighbour Preserving Local Ternary Co-occurrence Pattern (GNPLTCoP) in the Content Based Image Retrieval (CBIR) Task for ultrasound ...
This work employs GNPLTCoP feature as a feature extraction procedure in image retrieval system consists of database of ultrasound kidney images. ...
Srinivasagan, Professor and Head, CSE-PG, National Engineering College, Kovilpatti, Tamilnadu, India, for bringing the shape of the paper. The authors extend their thanks to Dr. S. ...
doi:10.17485/ijst/2015/v8i7/62845
fatcat:opsg3pquvzgdtpmuauofo5w42q
A REVIEW ON MULTIQUERY SYSTEM FOR CONTENT BASED IMAGE RETRIEVAL
2016
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
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In this thesis, a content-based image retrieval system is presented that computes texture and color similarity among images. ...
Content based image retrieval from large resources has become an area of wide interest now a days in many applications. ...
From the very beginning of CBIR research, similarity computation between images used either region based or global based features. ...
doi:10.24297/ijct.v15i13.4800
fatcat:6npswrvbwvbybbfblhhmiscgra
Automatic categorization of medical images for content-based retrieval and data mining
2005
Computerized Medical Imaging and Graphics
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Based on 6231 reference images from hospital routine, 85.5% correctness is obtained combining global texture features with scaled images. ...
This is an important step for data mining and content-based image retrieval (CBIR). So far, published approaches are capable to distinguish up to 10 categories. ...
Acknowledgements This work is part of image retrieval in medical applications (IRMA), a research project funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG), grants Le 1108/ ...
doi:10.1016/j.compmedimag.2004.09.010
pmid:15755534
fatcat:ta7cygjykrawfidh6hjnvzc4hq
Content-Based Image Retrieval in Medical Domain: A Review
2018
Journal of Physics, Conference Series
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Content-based Image Retrieval (CBIR) aids radiologist to identify similar medical images in recalling previous cases during diagnosis. ...
This paper reviews the recent works in CBIR that attempts to reduce the semantic gap in extracting the features from medical images, precisely for mammogram images. ...
Acknowledgement The authors would like to thank the Universiti Tun Hussein Onn Malaysia (UTHM), Research, Innovation, Commercialization and Consultancy Management (ORICC) office for facilitating this research ...
doi:10.1088/1742-6596/1019/1/012044
fatcat:6y3yocidu5ekrdmlrdvd4v4c3u
A unified learning framework for content based medical image retrieval using a statistical model
2016
Journal of King Saud University: Computer and Information Sciences
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The proposed system employed adaptive binary tree based support vector machine (ABTSVM) for efficient and fast classification of medical images in feature vector space. ...
The Experimental results reveal that the retrieval performance of the proposed system for heterogeneous medical image database is better than the existing systems at low computational and storage cost. ...
Acknowledgement The authors would like to thank the Rajah Muthiah Medical college Hospital, Annamalai University, Annamalai Nagar, India, for providing the image data. ...
doi:10.1016/j.jksuci.2014.10.006
fatcat:z4ybgn2kxffh5e3d7oehftsdmu
CINDI at ImageCLEF 2006: Image Retrieval & Annotation Tasks for the General Photographic and Medical Image Collections
[chapter]
2007
Lecture Notes in Computer Science
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For the ah-hoc image retrieval from both the photographic and medical image collections, we have experimented with cross-modal (image and text) interaction and integration approaches based on the relevance ...
Analysis of the results of the different runs we made for both the image retrieval and annotation tasks are reported in this paper. ...
Content-based image retrieval approach The performance of a Content-based image retrieval approach(CBIR) system depends on the underlying image representation, usually in the form of a feature vector ...
doi:10.1007/978-3-540-74999-8_90
fatcat:xqdqkswcevcibahbk5bqlrxaki
Efficient CBIR Using Color Histogram Processing
2011
Signal & Image Processing An International Journal
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The first one characterizes images by global descriptor attributes, while the second is based on color histogram approach.To compute feature vectors for Global descriptor, required time is much less as ...
The need for efficient content-based image retrieval system has increased hugely. ...
The Web:Global Versus Local Features " proposed two methods of content based image retrieval according to visual similarity. ...
doi:10.5121/sipij.2011.2108
fatcat:sekset64sjgqvksupzd6hawnfa
Content Based Mammogram Retrieval based on Breast Tissue Characterization using Statistical Features
2014
Research Journal of Applied Sciences Engineering and Technology
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For content based retrieval of the mammograms based on the given query image, first the query image is classified into any of the three tissue class. ...
Top 5 similar images are retrieved from its corresponding class database. ...
Sivakkolunthu, Professor of Radiology, Raja Muthiah Medical College Hospital, Annamalai Nagar for his valuable help and comments in carrying out this study. ...
doi:10.19026/rjaset.8.1047
fatcat:gskuprde2fhafkacbjqohwl3wy
A Novel Hybrid Framework for Medical Image Retrieval
2018
Asian Journal of Engineering and Applied Technology
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A new hybrid framework for Content-Based Medical Image Retrieval (MCBIR) is proposed in this paper to deals with the accuracy issues related with the existing MCBIR. ...
Then the geometric based chordiogram descriptor (CD) is extracted for each region. Both the statistical based and geometric based descriptors are combined to create a feature vector. ...
Content based image retrieval (CBIR) systems has been proposed by number of researchers in the medical domain [1] to search and retrieve the medical images based on low-level visual contents of an image ...
doi:10.51983/ajeat-2018.7.2.1014
fatcat:ddzcuilazvberpwobrbzjorlm4
Multiple Ranks Weighting Score for Microscopic Image Retrieval System
2014
International Journal of Information Technology and Computer Science
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Content-Based Image Retrieval refers to image retrieval system that is based on visual properties of image objects other than textual annotation. ...
Content based medical images have become a major necessity with the growing retrieving Advancements. ...
Feature Selection Feature selection applies based on the following characteristics of stored medical image content .basically two algorithms used for feature selection greedy algorithm and genetic algorithm ...
doi:10.5815/ijitcs.2014.10.06
fatcat:kthj6qmzbvce5pdxksykpnpine
Content-Based Image Retrieval in Radiology: Current Status and Future Directions
2010
Journal of digital imaging
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Content-based image retrieval (CBIR) techniques could be valuable to radiologists in assessing medical images by identifying similar images in large archives that could assist with decision support. ...
KEY WORDS: Content-based image retrieval, imaging informatics, information storage and retrieval, digital image management, decision support From the Electrical and Electronics Engineering Department, ...
CURRENT CBIR TECHNOLOGY Content-based image retrieval has been a vigorous area of research for at least the last two decades. ...
doi:10.1007/s10278-010-9290-9
pmid:20376525
pmcid:PMC3056970
fatcat:54efjsvb2vdxhecunbmv7pazei
Using relevant regions in image search and query refinement for medical CBIR
2011
Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications
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Given our new framework for region-based queries, we present an improved set of similar search results. ...
Thus, we propose a method using local regions within images to perform and refine medical image retrieval. ...
For these systems, a logical approach would be to utilize the global features extracted from the image in an image similarity computation. ...
doi:10.1117/12.878192
fatcat:egskagegorajrhpt3zoii2qqz4
Adaptive Content-Based Medical Image Retrieval Based On Local Features Extraction In Shearlet Domain
2018
EAI Endorsed Transactions on Context-aware Systems and Applications
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In the second stage, we make online task for content-based image retrieval in database. ...
In this paper, we proposed a new method for content-based medical image retrieval. The proposed method includes two stages: the offline task and online task in medical image database. ...
Acknowledgements This research is funded by Ho Chi Minh City University of Technology, VNU-HCM under grant number T-KHMT-2017-102. ...
doi:10.4108/eai.18-3-2019.159351
fatcat:jo5fv6ymovby7e7h3bgeyb4goq
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