| Medical case retrieval from a committee of decision trees. | |
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MedLine Citation:
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PMID: 20813626 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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A novel content-based information retrieval framework, designed to cover several medical applications, is presented in this paper. The presented framework allows the retrieval of possibly incomplete medical cases consisting of several images together with semantic information. It relies on a committee of decision trees, decision support tools well suited to process this type of information. In our proposed framework, images are characterized by their digital content. It was applied to two heterogeneous medical datasets for computer-aided diagnoses: a diabetic retinopathy follow-up dataset (DRD) and a mammography-screening dataset (DDSM). Measure of precision among the top five retrieved results of 0.788 + or - 0.137 and 0.869 + or - 0.161 was obtained on DRD and DDSM, respectively. On DRD, for instance, it increases by half the retrieval of single images. |
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Authors:
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Gwénolé Quellec; Mathieu Lamard; Lynda Bekri; Guy Cazuguel; Christian Roux; Béatrice Cochener |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society Volume: 14 ISSN: 1558-0032 ISO Abbreviation: IEEE Trans Inf Technol Biomed Publication Date: 2010 Sep |
Date Detail:
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Created Date: 2010-09-03 Completed Date: 2010-12-27 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9712259 Medline TA: IEEE Trans Inf Technol Biomed Country: United States |
Other Details:
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Languages: eng Pagination: 1227-35 Citation Subset: IM |
Affiliation:
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INSTITUT TELECOM/TELECOM Bretagne, Dpt ITI, Brest, F-29200 France. gwenole.quellec@telecom-bretagne.eu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Artificial Intelligence Databases, Factual Decision Support Systems, Clinical* Decision Trees* Diabetic Retinopathy / diagnosis Diagnosis, Computer-Assisted / methods* Fundus Oculi Humans Image Processing, Computer-Assisted Information Storage and Retrieval / methods* Mammography Signal Processing, Computer-Assisted |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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