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Multimodal biomedical image retrieval using hierarchical classification and modality fusion

Md Mahmudur Rahman, Daekeun You, Matthew S. Simpson, Sameer K. Antani, Dina Demner-Fushman, George R. Thoma
2013 International Journal of Multimedia Information Retrieval  
To minimize limitations of low-level feature representations in content-based image retrieval (CBIR), and to complement text-based search, we propose a multi-modal image search approach that exploits hierarchical  ...  For the CBIR search, several visual features were extracted to represent the images. Modalityspecific information was used for similarity fusion and selection of a relevant image subset.  ...  Related works Conventional approaches to biomedical journal article retrieval have been text-based with little research done using images to improve text retrieval.  ... 
doi:10.1007/s13735-013-0038-4 fatcat:cl7yikyncjaknivblsixnjbe74

Text- and Content-based Approaches to Image Retrieval for the ImageCLEF 2009 Medical Retrieval Track

Matthew S. Simpson, Md. Mahmudur Rahman, Dina Demner-Fushman, Sameer K. Antani, George R. Thoma
2009 Conference and Labs of the Evaluation Forum  
In this article we present an overview of these approaches, discuss our experiences combining them into multimodal retrieval strategies, and describe our submitted runs and results.  ...  This article describes the participation of the Image and Text Integration (ITI) group from the United States National Library of Medicine (NLM) in the ImageCLEF 2009 medical retrieval track.  ...  Long and Zhiyun Xue for their valuable input during group discussions and time spent preparing relevance judgements for our interactive experiments.  ... 
dblp:conf/clef/SimpsonRDAT09 fatcat:5gl3yyaqvzf4loopjjs5ts4jhy

Automatic segmentation of subfigure image panels for multimodal biomedical document retrieval

Beibei Cheng, Sameer Antani, R. Joe Stanley, George R. Thoma, Gady Agam, Christian Viard-Gaudin
2011 Document Recognition and Retrieval XVIII  
They appear in specialized databases or in biomedical publications and are not meaningfully retrievable using primarily text-based retrieval systems.  ...  in the full text for improved hybrid (text and image) retrieval of biomedical articles.  ...  Conventional approaches for biomedical journal article retrieval have been text-based with little attention devoted to the use of images in the articles.  ... 
doi:10.1117/12.873685 dblp:conf/drr/ChengAST11 fatcat:wjdhrjbtprgvbfhjzhwefsat34

Biomedical image representation approach using visualness and spatial information in a concept feature space for interactive region-of-interest-based retrieval

Md. Mahmudur Rahman, Sameer K. Antani, Dina Demner-Fushman, George R. Thoma
2015 Journal of Medical Imaging  
This article presents an approach to biomedical image retrieval by mapping image regions to local concepts where images are represented in a weighted entropy-based concept feature space.  ...  ., visualness) of concepts is measured as the Shannon entropy of pixel values in image patches and is used to refine the feature vector.  ...  Acknowledgments This research was supported by the Intramural Research Program of the NIH, NLM, and Lister Hill National Center for Biomedical Communications.  ... 
doi:10.1117/1.jmi.2.4.046502 pmid:26730398 pmcid:PMC4695659 fatcat:6yx6dxqzszgirhzyzfkhixaxle

Medical Image Retrieval: A Multimodal Approach

Yu Cao, Shawn Steffey, Jianbiao He, Degui Xiao, Cui Tao, Ping Chen, Henning Müller
2014 Cancer Informatics  
In this paper, we develop a new multimodal medical image retrieval approach based on the recent advances in the statistical graphic model and deep learning.  ...  While substantial progress has been made in different areas of content-based image retrieval (CBIR) research, direct applications of existing CBIR techniques to the medical images produced unsatisfactory  ...  Acknowledgments The authors would like to thank Chyeeka Brown and Huijuan Xu for contributing on part of the system implementation. Author contributions  ... 
doi:10.4137/cin.s14053 pmid:26309389 pmcid:PMC4533857 fatcat:axi6x7234ncwrowi3zs6j7dl7a

Natural language processing versus content-based image analysis for medical document retrieval

Aurélie Névéol, Thomas M. Deserno, Stéfan J. Darmoni, Mark Oliver Güld, Alan R. Aronson
2009 Journal of the American Society for Information Science and Technology  
The performance of text-based and image-based access, as well as combined document features, is compared. Image analysis proves more adequate for both the indexing and retrieval of the images.  ...  This work aims at comparing text-based versus image-based access to multimodal medical documents using state-ofthe-art methods of processing text and image components.  ...  The authors would like to thank Jean-Nicolas Dasher for his insight in creating the imaging-angle dictionary for text analysis, Filip Florea for supplying the corpus data used in this work, and Bastian  ... 
doi:10.1002/asi.20955 pmid:19633735 pmcid:PMC2714909 fatcat:3riwtj6n6zc6xk32szlsk5zkaq

A Multimodal Search Engine for Medical Imaging Studies

Eduardo Pinho, Tiago Godinho, Frederico Valente, Carlos Costa
2016 Journal of digital imaging  
studies on content-based image retrieval (CBIR) and multimodal information retrieval in the field hold great potential in decision support, as well as for addressing multiple challenges in healthcare  ...  This paper proposes an extensible platform for multimodal medical image retrieval, integrated in an open-source PACS software with profile-based CBIR capabilities.  ...  [15] have covered the use of Khresmoi for the retrieval of medical images in a PACS archive and the biomedical literature.  ... 
doi:10.1007/s10278-016-9903-z pmid:27561754 pmcid:PMC5267596 fatcat:6zplir2l6zdn3ktpfuwpr2ykna


Parul Nangia
2017 International Journal of Advanced Research in Computer Science  
Systems that have been used for content based image retrieval system use various features that are low level.  ...  SURF and Fuzzy has been combined in this system for efficient retrieval of the relevant images. SURF is a fast approach that compute point based descriptions about the shape features of the images.  ...  RESULTS In the proposed work content based image retrieval has been done using shape color and texture features.  ... 
doi:10.26483/ijarcs.v8i8.4867 fatcat:7jzlvwg5lfeyhb747jpwfvcsu4

Image retrieval

Ritendra Datta, Dhiraj Joshi, Jia Li, James Z. Wang
2008 ACM Computing Surveys  
We have witnessed great interest and a wealth of promise in content-based image retrieval as an emerging technology.  ...  In this paper, we survey almost 300 key theoretical and empirical contributions in the current decade related to image retrieval and automatic image annotation, and discuss the spawning of related sub-fields  ...  Fortunately (for researchers) or unfortunately (for users), precious little multimodal fusion has been attempted in the context of image retrieval and annotation.  ... 
doi:10.1145/1348246.1348248 fatcat:5jbcrsxkkbac5cya3zb7eb22ea

Prototypes for Content-Based Image Retrieval in Clinical Practice

Adrien Depeursinge
2011 Open Medical Informatics Journal  
Content-based image retrieval (CBIR) has been proposed as key technology for computer-aided diagnostics (CAD).  ...  use, distribution and reproduction in any medium, provided the work is properly cited.  ...  ACKNOWLEDGEMENTS This work was supported by the European Union, Marie Curie Actions, International Research Staff Exchange Scheme (FP7-PEOPLE-2010-IRSES, Project No 269124, Warehousing images in the digital  ... 
doi:10.2174/1874431101105010058 pmid:21892374 pmcid:PMC3149811 fatcat:qf4z2x4ayffmbgd2wk72s3p7nq

Overview of the Second Workshop on Medical Content–Based Retrieval for Clinical Decision Support [chapter]

Adrien Depeursinge, Hayit Greenspan, Tanveer Syeda, Henning Müller
2012 Lecture Notes in Computer Science  
The workshop brought together more than 40 registered researchers interested in the field of medical content-based retrieval. Eleven papers were accepted and presented at the workshop.  ...  The program was completed with a panel discussion on the role of content-based retrieval in clinical decision support.  ...  Acknowledgments We would like to thank the EU FP7 projects Khresmoi (257528), Promise (258191 ) and Chorus+ (249008) for their support as well as the Swiss national science foundation with the MANY project  ... 
doi:10.1007/978-3-642-28460-1_1 fatcat:os4h36tcorgshij4l7mkbd5sha

Comparative Study and Optimization of Feature-Extraction Techniques for Content based Image Retrieval

Aman Chadha, Sushmit Mallik, Ravdeep Johar
2012 International Journal of Computer Applications  
The aim of a Content-Based Image Retrieval (CBIR) system, also known as Query by Image Content (QBIC), is to help users to retrieve relevant images based on their contents.  ...  CBIR technologies provide a method to find images in large databases by using unique descriptors from a trained image.  ...  The application of image processing and related techniques to derive retrieval features is referred to as Content-Based Image Retrieval (CBIR).  ... 
doi:10.5120/8320-1959 fatcat:jmyasf2q5fbafkvsht2tnqq6ee

Retrieval From and Understanding of Large-Scale Multi-modal Medical Datasets: A Review

Henning Muller, Devrim Unay
2017 IEEE transactions on multimedia  
Annotated data sets and clinical data for the images have now become available and can be combined for multimodal retrieval. Much has been learned on user behavior and application scenarios.  ...  This text is a systematic review of recent work (concentrating on the period between 2011-2017) on content-based multi-modal retrieval and image understanding in the medical domain, where image understanding  ...  Annotated data sets and clinical data for the images have now become available and can be combined for multimodal retrieval. Much has been learned on user behavior and application scenarios.  ... 
doi:10.1109/tmm.2017.2729400 fatcat:td4s7hbegzbmhlosalzlc3p7tq

Medical image retrieval using deep convolutional neural network

Adnan Qayyum, Syed Muhammad Anwar, Muhammad Awais, Muhammad Majid
2017 Neurocomputing  
This causes difficulty in managing and querying these large databases leading to the need of content based medical image retrieval (CBMIR) systems.  ...  An intermodal dataset that contains twenty four classes and five modalities is used to train the network. The learned features and the classification results are used to retrieve medical images.  ...  Content Based Image Retrieval (CBIR) A basic block diagram of generic CBIR system is illustrated in Fig. 1 .  ... 
doi:10.1016/j.neucom.2017.05.025 fatcat:ms5tloxshnfpjhc7y5okiabrma

Effective of Modern Techniques on Content-Based Medical Image Retrieval: A Survey

Metwally Rashad, Sameer Nooh, Ibrahem Afifi, Mohamed Abdelfatah
2022 International journal of computer science and mobile computing  
This implies that a precise, efficient way of indexing and retrieving biomedical images is necessary to obtain medical images from such repositories in real-time.  ...  The majority of the methods already in use in CBMIR enhance the retrieval of a medical image and diseases diagnosis by reducing the issue of the semantic gap between low visual and high semantic levels  ...  In [65] , an effective approach has suggested retrieving biomedical images using the global and local image features.  ... 
doi:10.47760/ijcsmc.2022.v11i03.008 fatcat:656cjypw75h43mjfflbngdouia
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