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Benefits of Content-based Visual Data Access in Radiology

Henning Müller, Antoine Rosset, Arnaud Garcia, Jean-Paul Vallée, Antoine Geissbuhler
2005 Radiographics  
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

Henning Müller, Paul Clough, William Hersh, Thomas Deselaers, Thomas Lehmann, Antoine Geissbuhler
2005 Proceedings of the 13th annual ACM international conference on Multimedia - MULTIMEDIA '05  
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

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 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

Pradnya Kulkarni, Siddhivinayak Kulkarni, Andrew Stranieri
2014 International Journal for Infonomics  
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

Thomas M. Deserno, Petra Welter, Alexander Horsch
2011 Journal of digital imaging  
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]

Daniel Racoceanu, Caroline Lacoste, Roxana Teodorescu, Nicolas Vuillemenot
2006 Lecture Notes in Computer Science  
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

Roxana TEODORESCU, Roxana TEODORESCU, Daniel RACOCEANU, Daniel RACOCEANU, Wee-Kheng LEOW, Wee-Kheng LEOW, Vladimir CRETU, Vladimir CRETU
2008 Medical Imaging Technology  
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]

Roxana Teodorescu, Wee-Kheng Leow
2008 arXiv   pre-print
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

Petra Welter, Thomas M Deserno, Benedikt Fischer, Rolf W Günther, Cord Spreckelsen
2011 BMC Medical Informatics and Decision Making  
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

C. Lacoste, Joo-Hwee Lim, J.-P. Chevallet, D.T.H. Le
2007 IEEE transactions on circuits and systems for video technology (Print)  
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

Henning Müller, Nicolas Michoux, David Bandon, Antoine Geissbuhler
2004 International Journal of Medical Informatics  
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]

Paul Clough, Henning Müller, Thomas Deselaers, Michael Grubinger, Thomas M. Lehmann, Jeffery Jensen, William Hersh
2006 Lecture Notes in Computer Science  
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

Ceyhun Burak Akgül, Daniel L. Rubin, Sandy Napel, Christopher F. Beaulieu, Hayit Greenspan, Burak Acar
2010 Journal of digital imaging  
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

Priya Deshpande, Alexander Rasin, Fang Cao, Sriram Yarlagadda, Eli Brown, Jacob Furst, Daniela Raicu
2019 International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management  
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

Pradnya Kulkarni, Andrew Stranieri, Siddhivinayak Kulkarni, Julien Ugon, Manish Mittal
2014 The International Journal of Multimedia & Its Applications  
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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