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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  
Content-based image analysis and natural language processing techniques are applied individually and combined for multimodal document analysis.  ...  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

Content-Based Retrieval Of Medical Images

Lilac A. E. Al-Safadi
2012 Zenodo  
The medical field demands sophisticated systems for search and retrieval of the produced multimedia document.  ...  This paper presents an ongoing research that focuses on the semantic content of radiographic image documents to facilitate semantic-based radiographic image indexing and a retrieval system.  ...  For a content-based retrieval of multimedia document, a comprehensive data model to describe the content of the documents and an exhaustive language to describe the content is needed.  ... 
doi:10.5281/zenodo.1082997 fatcat:75ojihsryzf3npeuw3gbn7l5by

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  
We analyze various probabilistic, fuzzy and evidence-based approaches for the fusion process and different similarity functions for the retrieval process.  ...  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.  ...  We would like also to thank our colleagues from IPAL -Caroline Lacoste, Nicolas Vuillemenot, Le Thi Hoang Diem and Jean-Pierre Chevallet -for providing us the text and images separate indexes used for  ... 
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
We analyze various probabilistic, fuzzy and evidence-based approaches for the fusion process and different similarity functions for the retrieval process.  ...  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.  ...  We would like also to thank our colleagues from IPAL -Caroline Lacoste, Nicolas Vuillemenot, Le Thi Hoang Diem and Jean-Pierre Chevallet -for providing us the text and images separate indexes used for  ... 
arXiv:0811.4717v1 fatcat:nuapyakrhraxjcwoxsaqojnzhi

The CLEF Cross Language Image Retrieval Track (ImageCLEF) 2004 [chapter]

Paul Clough, Mark Sanderson, Henning Müller
2004 Lecture Notes in Computer Science  
For 2004 we have extended the tasks to include a medical image retrieval task and a user-centred evaluation.  ...  This was designed to simulate the situation in which users would express their search request in natural language but require visual documents in return.  ...  The tasks vary across domain, scenario, where CLIR is used, whether content-based image retrieval is required and whether the task is system or user-centered.  ... 
doi:10.1007/978-3-540-27814-6_31 fatcat:tnbxoph5obeddkof27u66cftxa

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.  ...  Brief Overview of the Content-Based Image Retrieval and Fusion Methods Although access methods in image databases already existed in the beginning of the 1980s [5] , the content-based image retrieval  ... 
doi:10.1007/11880592_35 fatcat:tozgl35tkzhilmgoy72lu6kvui

Text summarization in the biomedical domain: A systematic review of recent research

Rashmi Mishra, Jiantao Bian, Marcelo Fiszman, Charlene R. Weir, Siddhartha Jonnalagadda, Javed Mostafa, Guilherme Del Fiol
2014 Journal of Biomedical Informatics  
Natural language processing (17; 50%) and a hybrid technique comprising of statistical, Natural language processing and machine learning (15; 44%) were the most common summarization approaches.  ...  Conclusion: Recent research has focused on a hybrid technique comprising statistical, language processing and machine learning techniques.  ...  Acknowledgments The authors would like to acknowledge Alice Weber for providing insights on the search strategy of this systematic review.  ... 
doi:10.1016/j.jbi.2014.06.009 pmid:25016293 pmcid:PMC4261035 fatcat:jdsabkdlhneldlzelmbdqp3bci

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)  
Index Terms-Content-based image retrieval, knowledge-based image indexing, Unified Medical Language System (UMLS), visual ontology.  ...  Voluminous medical images are generated daily. They are critical assets for medical diagnosis, research, and teaching.  ...  Deselaers for the organization of image retrieval from medical collections. Finally, they would also like to thank T. Joachims for making his software available.  ... 
doi:10.1109/tcsvt.2007.897114 fatcat:s3phy77d3nhazfgubsyqshzaqu

A Generic Framework for Semantic Medical Image Retrieval

Manuel Möller, Michael Sintek
2007 International Conference on Semantics and Digital Media Technologies  
Therefore semantic annotation is a key concern for an improvement of the relevance in image retrieval applications.  ...  We present a system architecture which aims at an integration of high-and low-level features on various abstraction levels allowing cross-modal as well as cross-lingual retrieval through Content Based  ...  Data Analysis For the Data Analysis we can dierentiate two basic situations: The (1) query analysis versus the (2) data analysis from legacy systems in batch mode.  ... 
dblp:conf/samt/MollerS07 fatcat:ikndwemhbzh37brblzmoeu76lu

Summarization from medical documents: a survey

Stergos Afantenos, Vangelis Karkaletsis, Panagiotis Stamatopoulos
2005 Artificial Intelligence in Medicine  
Discussion and conclusions: The paper discusses thoroughly the promising paths for future research in medical documents summarization.  ...  It then examines the characteristics of the medical domain through the different types of medical documents.  ...  George Paliouras, for their helpful and constructive comments. Many thanks also to Ms. Eleni Kapelou and Ms. Irene Doura for checking the use of English.  ... 
doi:10.1016/j.artmed.2004.07.017 pmid:15811783 fatcat:n7u6ji5t2rgkvjktacjf4rdire

A survey on question answering technology from an information retrieval perspective

Oleksandr Kolomiyets, Marie-Francine Moens
2011 Information Sciences  
On the one hand, natural language queries are reduced to keyword-based searches, on the other hand, knowledge bases are queried with structured or logical queries obtained from the natural language questions  ...  analysis, translation into a SQL-like language and logical representations.  ...  In the case of a textual document collection from which the answers are extracted, we explain the natural language processing techniques for building the content representations.  ... 
doi:10.1016/j.ins.2011.07.047 fatcat:se6dcorj2jbidath35go5wi5yy

Advancing Biomedical Image Retrieval: Development and Analysis of a Test Collection

W. R. Hersh, H. Muller, J. R. Jensen, J. Yang, P. N. Gorman, P. Ruch
2006 JAMIA Journal of the American Medical Informatics Association  
Methods: After participating research groups obtained and assessed results from their systems in the image retrieval task of Cross-Language Evaluation Forum, we assessed the results for common themes and  ...  Conclusions: We developed a test collection amenable to assessing visual and textual methods for image retrieval.  ...  In a recent review article of content-based image retrieval applied in biomedicine, Müller and colleagues noted that image processing algorithms to automatically identify the conceptual content of images  ... 
doi:10.1197/jamia.m2082 pmid:16799124 pmcid:PMC1561788 fatcat:4cjszhblkzbufj6eekdfiwk5du

Seven Years of Image Retrieval Evaluation [chapter]

Paul Clough, Henning Müller, Mark Sanderson
2010 ImageCLEF  
for evaluating visual information retrieval systems and is the focus of this book.  ...  for starting ImageCLEF and then a summary of the tracks run over the seven years (data, tasks and participants).  ...  Our thanks also extend to all other data providers who have enabled us to distribute and use their content.  ... 
doi:10.1007/978-3-642-15181-1_1 fatcat:yuvmyscbufg5lclr36z4pughm4

An Overview of Evaluation Campaigns in Multimedia Retrieval [chapter]

Suzanne Little, Ainhoa Llorente, Stefan Rüger
2010 ImageCLEF  
for evaluating visual information retrieval systems and is the focus of this book.  ...  for starting ImageCLEF and then a summary of the tracks run over the seven years (data, tasks and participants).  ...  Our thanks also extend to all other data providers who have enabled us to distribute and use their content.  ... 
doi:10.1007/978-3-642-15181-1_27 fatcat:nnglqvlfw5a6fceju5vrwyswim

A Context Model for Content Based Medical Image Retrieval

Patrick BREZILLON, Patrick BREZILLON, Daniel RACOCEANU, Daniel RACOCEANU
2007 Medical Imaging Technology  
Content-Based Image Retrieval (CBIR) systems are reaching nowadays a limitation related to the well-known semantic gap.  ...  We illustrate this point on two steps, namely the user's query management and the medical image domain knowledge-related semantic indexing, thanks to methods and tools coming from artificial intelligence  ...  techniques for medical images and associated medical reports; developing a grid-distributed medical image retrieval application that links the medical concepts of the images and text documents based on  ... 
doi:10.11409/mit.25.327 fatcat:mccneo4n3vfpfbjcm7fkyvm65y
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