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Benefits of Content-based Visual Data Access in Radiology
2005
Radiographics
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The field of medicine is often cited as an area for which content-based visual retrieval holds considerable promise. ...
An image retrieval system was developed and integrated into a radiology teaching file system, and the performance of the retrieval system was evaluated, with use of query topics that represent the teaching ...
Acknowledgment: The authors thank Julien Vignali for finishing our user interface in time for the RSNA presentation. ...
doi:10.1148/rg.253045071
pmid:15888631
fatcat:srqgmvffwzadriew5gzqmxyoge
Evaluation axes for medical image retrieval systems
2005
Proceedings of the 13th annual ACM international conference on Multimedia - MULTIMEDIA '05
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Final goal with most impact will be the use as a diagnostic aid in a real-world clinical setting. ...
Content-based image retrieval in the medical domain is an extremely hot topic in medical imaging as it promises to help better managing the large amount of medical images being produced. ...
We also acknowledge the support of National Science Foundation (NSF) grant ITR-0325160. The establishment of the IRMA database was funded by the German DFG with grant Le 1108/4. ...
doi:10.1145/1101149.1101358
dblp:conf/mm/MullerCHDLG05
fatcat:7vlmcfv7pbgezkan7it57uk5za
Natural language processing versus content-based image analysis for medical document retrieval
2009
Journal of the American Society for Information Science and Technology
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The evaluation consists of an indexing task and a retrieval task based on the "gold standard" codes manually assigned to corpus documents. ...
While research on automatic text and image processing has taken separate paths, there is a growing need for joint efforts, particularly for electronic health records and biomedical literature databases ...
Ott for supplying IRMA reference coding for the dataset. ...
doi:10.1002/asi.20955
pmid:19633735
pmcid:PMC2714909
fatcat:3riwtj6n6zc6xk32szlsk5zkaq
A Novel Architecture and Analysis of Challenges for Combining Text and Image for Medical Image Retrieval
2014
International Journal for Infonomics
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We propose a diagnostic support system based on a combination of image and text retrieval. ...
Radiological support systems including PACS (Picture Archiving and Communication System), SRS (Structured Reporting System) and image and text retrieval systems have been developed to assist radiologists ...
This will provide us with the images which are similar in content with the query image and similar in reports to the query reports. ...
doi:10.20533/iji.1742.4712.2014.0105
fatcat:agjqvxbetjb3hguwk2dchh6ouu
Towards a Repository for Standardized Medical Image and Signal Case Data Annotated with Ground Truth
2011
Journal of digital imaging
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A standardized creation report is generated with a permanent digital object identifier. This creation report must be referenced by all of the data users. ...
We propose an architecture for a standardized case data and ground truth information repository supporting the evaluation and analysis of computer-aided diagnosis based on (a) the Reference Model for an ...
The authors would like to thank George Thoma, National Library of Medicine, National Institutes of Health (NIH), USA, for his critical reflections on our approach and for contributing a perspective that ...
doi:10.1007/s10278-011-9428-4
pmid:22075810
pmcid:PMC3295968
fatcat:j7jjm34ggnha3muu5j7vb3nnqy
A Semantic Fusion Approach Between Medical Images and Reports Using UMLS
[chapter]
2006
Lecture Notes in Computer Science
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In this paper, we present our first results concerning a medical image retrieval approach using a semantic medical image and report indexing within a fusion framework, based on the Unified Medical Language ...
One of the main challenges in content-based image retrieval still remains to bridge the gap between low-level features and semantic information. ...
Introduction Many programs and tools have been developed to formulate and execute queries based on the visual content and to help browsing large multimedia repositories. ...
doi:10.1007/11880592_35
fatcat:tozgl35tkzhilmgoy72lu6kvui
Prospective Study for Semantic Inter-Media Fusion in Content-Based Medical Image Retrieval
2008
Medical Imaging Technology
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One important challenge in modern Content-Based Medical Image Retrieval (CBMIR) approaches is represented by the semantic gap, related to the complexity of the medical knowledge. ...
All the proposed methods are evaluated on the Cross Language Evaluation Forum's (CLEF) medical image retrieval benchmark, by focusing also on a more homogeneous component medical image database: the Pathology ...
Acknowledgment This work has been done with the support of ONCO-MEDIA *12 ICT Asia project. ...
doi:10.11409/mit.26.48
fatcat:wsadksaw3fckfmc4in5qffpctu
Prospective Study for Semantic Inter-Media Fusion in Content-Based Medical Image Retrieval
[article]
2008
arXiv
pre-print
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One important challenge in modern Content-Based Medical Image Retrieval (CBMIR) approaches is represented by the semantic gap, related to the complexity of the medical knowledge. ...
All the proposed methods are evaluated on the Cross Language Evaluation Forum's (CLEF) medical image retrieval benchmark, by focusing also on a more homogeneous component medical image database: the Pathology ...
Acknowledgment This work has been done with the support of ONCO-MEDIA *12 ICT Asia project. ...
arXiv:0811.4717v1
fatcat:nuapyakrhraxjcwoxsaqojnzhi
Towards case-based medical learning in radiological decision making using content-based image retrieval
2011
BMC Medical Informatics and Decision Making
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The IBCR-RE diagnostic training is embedded into a didactic framework based on the Seven Jump approach, which is well established in problem-based learning (PBL). ...
Radiologists' training is based on intensive practice and can be improved with the use of diagnostic training systems. ...
Acknowledgements This research was partly funded by the German Research Foundation (DFG), Le 1108/9. ...
doi:10.1186/1472-6947-11-68
pmid:22032775
pmcid:PMC3217894
fatcat:xt6e2bzelvfqdgvpi5b465bdga
Medical-Image Retrieval Based on Knowledge-Assisted Text and Image Indexing
2007
IEEE transactions on circuits and systems for video technology (Print)
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Using the ImageCLEFmed database, we demonstrate the effectiveness of our framework which is superior when compared with the automatic runs evaluated in 2005 on the same medical-image retrieval task. ...
We propose a structured learning framework based on support vector machines to facilitate modular design and learning of medical semantics from images. ...
The authors would also like to thank the ImageCLEFmed organizers for making available a large medical image dataset to evaluate our algorithms, and, especially, H. Mueller, W. Hersh, and T. ...
doi:10.1109/tcsvt.2007.897114
fatcat:s3phy77d3nhazfgubsyqshzaqu
A review of content-based image retrieval systems in medical applications—clinical benefits and future directions
2004
International Journal of Medical Informatics
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text-based queries or requests based on matching exact database fields. ...
This article gives an overview of available literature in the field of content-based access to medical image data and on the technologies used in the field. ...
Acknowledgements The authors would like to thank the reviewers for their comments that helped to improve the quality of this paper. ...
doi:10.1016/j.ijmedinf.2003.11.024
pmid:15036075
fatcat:qhqlj2yeabd4deqduqlnrixptu
The CLEF 2005 Cross–Language Image Retrieval Track
[chapter]
2006
Lecture Notes in Computer Science
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The aim of this CLEF track is to explore the use of both text and content-based retrieval methods for cross-language image retrieval. ...
Four tasks were offered in the ImageCLEF track: a ad-hoc retrieval from an historic photographic collection, ad-hoc retrieval from a medical collection, an automatic image annotation task, and a user-centered ...
The establishment of the IRMA database was funded by the German Research Community DFG under grand Le 1108/4. ...
doi:10.1007/11878773_60
fatcat:tnktsl6hkbbupofowyjau6t3g4
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, ...
One notable example is the Essence framework, 71 serving as a knowledge repository and exchange platform for medical image databases. ...
doi:10.1007/s10278-010-9290-9
pmid:20376525
pmcid:PMC3056970
fatcat:54efjsvb2vdxhecunbmv7pazei
Multimodal Ranked Search over Integrated Repository of Radiology Data Sources
2019
International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
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We quantify query context through a weighted text-based search and with ontology integration. We also incorporate an image-based search that allows finding visually similar teaching files. ...
Finally, we augment text-based search results with image-based search -a hybrid approach that further improves search result relevance. ...
Casimage database with the IRMA framework (Thies et al., 2004) An integration of a multimedia teaching and reference database in a Picture Archiving and Communication Systems (PACS) environment. ...
doi:10.5220/0008166603720383
dblp:conf/ic3k/DeshpandeRCYBFR19
fatcat:r4wxyp3fqna6rp67t73v5oj5u4
Visual Character N-Grams for Classification and Retrieval of Radiological Images
2014
The International Journal of Multimedia & Its Applications
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Experiments on miniMIAS database show that character n-gram features are useful in classifying the regions into normal and abnormal categories. ...
Regions of interests in mammographic images are represented with the character ngram features. ...
Annotating every single image in the database is a very tedious job. Content based image retrieval (CBIR) is based on retrieving similar images by using image content. ...
doi:10.5121/ijma.2014.6204
fatcat:avwsnclfpzd5ldyiihufrjwwvu
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