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The MedGIFT Group at ImageCLEF 2008 [chapter]

Xin Zhou, Julien Gobeill, Henning Müller
<span title="">2009</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
The visual information analysis is mainly based on the GNU Image Finding Tool (GIFT). Other information such as textual information and aspect ratio were integrated to improve our results.  ...  GIFT can be seen as a baseline for the visual retrieval as it has been used for the past five years in ImageCLEF.  ...  through the KnowARC project (Grant IST 032691).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-04447-2_90">doi:10.1007/978-3-642-04447-2_90</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/i7uuiuo335fqhnx5tjdjafzcce">fatcat:i7uuiuo335fqhnx5tjdjafzcce</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190222192649/http://pdfs.semanticscholar.org/3bbb/b96c0904abf85c1a191e3ab9f0fea4f95adf.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3b/bb/3bbbb96c0904abf85c1a191e3ab9f0fea4f95adf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-04447-2_90"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

The MedGIFT Group at ImageCLEF 2009 [chapter]

Xin Zhou, Ivan Eggel, Henning Müller
<span title="">2010</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
For the medical image retrieval task, two existing retrieval engines were used: the GNU Image Finding Tool (GIFT) as image retrieval engine and Apache Lucene as textual retrieval engine.  ...  The baseline setup used for the past five years already obtained the best result among all our visual submissions. For the medical image annotation task, two approaches were tested.  ...  through the KnowARC project (Grant IST 032691).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-15751-6_25">doi:10.1007/978-3-642-15751-6_25</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lvr5cnbfhvcgpb3owkv4wpr3t4">fatcat:lvr5cnbfhvcgpb3owkv4wpr3t4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809152341/http://clef.isti.cnr.it/2009/working_notes/zhou_imageclefmed2009_GE.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4d/ce/4dcea2d99a8d0327719f9cb1cbcbdd9008eb0f38.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-15751-6_25"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

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
<span title="2013-07-04">2013</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/prsrkwgmmjas7elf5ki2xrsyvm" style="color: black;">International Journal of Multimedia Information Retrieval</a> </i> &nbsp;
Finally, the multi-modal search consists of a weighted linear combination of similarity scores of independent output results from textual and visual search approaches (inter modality).  ...  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.  ...  Integration of complementary textual and image information into a unified information retrieval system appears to be promising and could improve retrieval quality through greater utilization of all available  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s13735-013-0038-4">doi:10.1007/s13735-013-0038-4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cl7yikyncjaknivblsixnjbe74">fatcat:cl7yikyncjaknivblsixnjbe74</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180727163906/https://link.springer.com/content/pdf/10.1007%2Fs13735-013-0038-4.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/81/76/817612e3f70ea1f9bb61929d4d4ea8bb6362772f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s13735-013-0038-4"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

A Novel Architecture and Analysis of Challenges for Combining Text and Image for Medical Image Retrieval

Pradnya Kulkarni, Siddhivinayak Kulkarni, Andrew Stranieri
<span title="2014-03-01">2014</span> <i title="Infonomics Society"> International Journal for Infonomics </i> &nbsp;
In this article we analyse the integration of image and text retrieval is promising for enhancing radiological teaching, research and diagnosis.  ...  We propose a diagnostic support system based on a combination of image and text retrieval.  ...  An CBIR-Text integrated approach would make it easier to search relevant images and cases quickly without having to browse through the huge database and the web based search approach would help study in  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.20533/iji.1742.4712.2014.0105">doi:10.20533/iji.1742.4712.2014.0105</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/agjqvxbetjb3hguwk2dchh6ouu">fatcat:agjqvxbetjb3hguwk2dchh6ouu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180601225442/http://infonomics-society.org/wp-content/uploads/iji/published-papers/volume-7-2014/A-Novel-Architecture-and-Analysis-of-Challenges.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e4/ee/e4ee99e7fe2b94b675e295b7d7f33140228819cb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.20533/iji.1742.4712.2014.0105"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Medical Image Retrieval: A Multimodal Approach

Yu Cao, Shawn Steffey, Jianbiao He, Degui Xiao, Cui Tao, Ping Chen, Henning Müller
<span title="2015-07-22">2014</span> <i title="SAGE Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/arhjbkogknfc5m4fvcz76b7r6m" style="color: black;">Cancer Informatics</a> </i> &nbsp;
Specifically, we first investigate a new extended probabilistic Latent Semantic Analysis model to integrate the visual and textual information from medical images to bridge the semantic gap.  ...  Facing such an unprecedented volume of image data with heterogeneous image modalities, it is necessary to develop effective and efficient content-based medical image retrieval systems for cancer clinical  ...  Acknowledgments The authors would like to thank Chyeeka Brown and Huijuan Xu for contributing on part of the system implementation. Author contributions  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4137/cin.s14053">doi:10.4137/cin.s14053</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26309389">pmid:26309389</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4533857/">pmcid:PMC4533857</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/axi6x7234ncwrowi3zs6j7dl7a">fatcat:axi6x7234ncwrowi3zs6j7dl7a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200306070626/https://hesso.tind.io/record/1107/files/muller_medicalimageretrieval_2015.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1d/18/1d183af07597309fced3dba5adfd6bdd30ee843b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4137/cin.s14053"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4533857" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Benefits of Content-based Visual Data Access in Radiology

Henning Müller, Antoine Rosset, Arnaud Garcia, Jean-Paul Vallée, Antoine Geissbuhler
<span title="">2005</span> <i title="Radiological Society of North America (RSNA)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7rlrv325vvgfzaztn3mx73wcwe" style="color: black;">Radiographics</a> </i> &nbsp;
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  ...  The field of medicine is often cited as an area for which content-based visual retrieval holds considerable promise.  ...  Acknowledgment: The authors thank Julien Vignali for finishing our user interface in time for the RSNA presentation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1148/rg.253045071">doi:10.1148/rg.253045071</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/15888631">pmid:15888631</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/srqgmvffwzadriew5gzqmxyoge">fatcat:srqgmvffwzadriew5gzqmxyoge</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20161029190820/http://pubs.rsna.org:80/doi/pdf/10.1148/rg.253045071" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/29/6c/296cd6079d3a5e4552dff940dbb3457a59d47cf5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1148/rg.253045071"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Improved medical image modality classification using a combination of visual and textual features

Ivica Dimitrovski, Dragi Kocev, Ivan Kitanovski, Suzana Loskovska, Sašo Džeroski
<span title="">2015</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4jlnkdml2bdgrfvr7tr6ckaowi" style="color: black;">Computerized Medical Imaging and Graphics</a> </i> &nbsp;
Improved medical image modality classification using a combination of visual and textual features.  ...  This is because the different features are able to capture different aspects of an image, their combination offering a more complete representation of the visual content in an image.  ...  Acknowledgements We would like to acknowledge the support of the European Commission through the project MAESTRA -Learning from Massive, Incompletely annotated, and Structured Data (Grant number ICT-2013  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.compmedimag.2014.06.005">doi:10.1016/j.compmedimag.2014.06.005</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/24997992">pmid:24997992</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/g76syoiwe5fbvnmjxvmnryluvy">fatcat:g76syoiwe5fbvnmjxvmnryluvy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705074800/http://kt.ijs.si/SasoDzeroski/pdfs/2015/2015-DimitrovskiEtAl-CMIG.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c6/24/c624d7860ba69535c5fa140a1f1db26d336044b5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.compmedimag.2014.06.005"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

A Semantic Fusion Approach Between Medical Images and Reports Using UMLS [chapter]

Daniel Racoceanu, Caroline Lacoste, Roxana Teodorescu, Nicolas Vuillemenot
<span title="">2006</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
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  ...  We developed two complementary visual indexing approaches within this framework: a global indexing to access image modality, and a local indexing to access semantic local features.  ...  The conclusion of this study is that combining the image and the text through the LSA method is not always efficient. [23] use the LSA method on the textual and visual combined information.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11880592_35">doi:10.1007/11880592_35</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tozgl35tkzhilmgoy72lu6kvui">fatcat:tozgl35tkzhilmgoy72lu6kvui</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20130613021037/http://facweb.cs.depaul.edu:80/research/vc/seminar/Paper/Racoceanu06_A%20Semantic%20Fusion%20Approach%20Between%20Medical%20Images%20and%20Reports%20Using%20UMLS_AIRS.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/51/03/5103dee5133800e86d5bf4e20694cfe7f95e85c9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11880592_35"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Shangri-La: A medical case-based retrieval tool

Alba G. Seco de Herrera, Roger Schaer, Henning Müller
<span title="2017-06-14">2017</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ytszeoavsvacnciwhmsxbas6tq" style="color: black;">Journal of the Association for Information Science and Technology</a> </i> &nbsp;
The approach includes a queryadaptive multi-modal fusion criterion that analyses if visual features are suitable to be fused with text for the retrieval.  ...  The system is based on a multi-modal retrieval approach with a focus on the integration of visual information connected to text.  ...  images using visual features and textual context.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/asi.23858">doi:10.1002/asi.23858</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/l67hfolmtrgsbpjmzjp2qrypje">fatcat:l67hfolmtrgsbpjmzjp2qrypje</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200309102629/https://hesso.tind.io//record/2165/files/Garcia_Seco_de_Herrera_2017_Shangri-La.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/41/b2/41b2560233c23a519e7c03890227436343585fe7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/asi.23858"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> wiley.com </button> </a>

Distributed Retrieval of Images using Particle Swarm Optimization and Hadoop

Darsana B, G. Jagajothi
<span title="2013-06-26">2013</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
The proposed approach also avoids the semantic gap in image retrieval by utilizing automatic relevance feedback and meta-heuristic optimization.  ...  Content based Image Retrieval (CBIR) is the problem of searching for digital images in large databases. It is the vital application of computer vision techniques to the image retrieval problem.  ...  Here textual feature space and visual feature space are computed for the retrieved images.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/12375-8719">doi:10.5120/12375-8719</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/72q6zft2czd3fedxsrovkpsmne">fatcat:72q6zft2czd3fedxsrovkpsmne</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180723125624/https://research.ijcaonline.org/volume71/number8/pxc3888719.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/40/1a/401aac54a2844ee61cef2a2248968c885cdb3b52.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/12375-8719"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Bag of Visual Words Techniques for Content- Based Image Retrieval and the Role Using in Computer Vision Major: A Survey

Abdullah MMA Al-Omari, Abdullah Noman
<span title="2021-09-04">2021</span> <i title="Zenodo"> Zenodo </i> &nbsp;
For the last three decades, the semantic gap between high-level semantic and low-level image features is an active research area in CBIR, hence, the BoVW model is one of the mechanizes utilized for reducing  ...  Nowadays, Content-Based Image Retrieval (CBIR) became an active research field, to produce typical solutions for similar images retrieval from image databases.  ...  Acknowledgment I thank Almighty Allah for instructing, teaching, and leading me throughout us life and specifically in this research work.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.5448762">doi:10.5281/zenodo.5448762</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/go4qzq6ktrcp5d6nvs7royxokm">fatcat:go4qzq6ktrcp5d6nvs7royxokm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210906074822/https://zenodo.org/record/5448763/files/9.%2081-89%20Bag%20of%20Visual%20Words%20Tehniques%20for%20Content-%20Based%20Image%20Retrieval%20and%20the%20Role%20Using%20in%20Computer%20Vision%20Major%20A%20Survey%20%281%29.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c1/64/c1644e7528e35f98bba34f8bee24e5fdc570b429.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.5448762"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Integrating Perceptual Signal Features within a Multi-facetted Conceptual Model for Automatic Image Retrieval [chapter]

Mohammed Belkhatir, Philippe Mulhem, Yves Chiaramella
<span title="">2004</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
and integrate signal and semantic features within a unified conceptual framework.  ...  According to these approaches a sun, for example, is represented by an orange or yellow circle, but not by the term "sun".  ...  To remedy such shortcomings, visual semantics and signal features are integrated within an image model which consists of a physical image level and a conceptual level.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-24752-4_20">doi:10.1007/978-3-540-24752-4_20</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7n7ws6imorf7nkkfwunzszexwy">fatcat:7n7ws6imorf7nkkfwunzszexwy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705074329/http://hal.univ-grenoble-alpes.fr/file/index/docid/953926/filename/ECIR2004_belkhatir.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fe/9c/fe9c44170da6dc73709d389d354d727f36f83138.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-24752-4_20"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

SPIRS: A Web-based image retrieval system for large biomedical databases

William Hsu, Sameer Antani, L. Rodney Long, Leif Neve, George R. Thoma
<span title="">2009</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jyf7co46pvdybh6jhdipt5d3im" style="color: black;">International Journal of Medical Informatics</a> </i> &nbsp;
x-ray images and data from a national health survey using a combination of visual and textual queries.  ...  Purpose-With the increasing use of images in disease research, education, and clinical medicine, the need for methods that effectively archive, query, and retrieve these images by their content is underscored  ...  Alex Bui at the UCLA Medical Imaging Informatics Group for his valuable feedback.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ijmedinf.2008.09.006">doi:10.1016/j.ijmedinf.2008.09.006</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/18996737">pmid:18996737</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC2693318/">pmcid:PMC2693318</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cgcgsd26jjcqxjf6sog7hj4yym">fatcat:cgcgsd26jjcqxjf6sog7hj4yym</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191103092516/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC2693318&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/aa/28/aa2815a5e5a7efbb75a19821b78651d0e48d1ab4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ijmedinf.2008.09.006"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2693318" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Medical Multimedia Retrieval 2.0

H. Müller
<span title="">2008</span> <i title="Georg Thieme Verlag KG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/25ybzim6mvglde3zgjvka7ehii" style="color: black;">IMIA Yearbook of Medical Informatics</a> </i> &nbsp;
Still, when reusing and linking much of the electronic patient record's data, image retrieval can be a technology to help extract important knowledge and navigate through the large amounts of data.  ...  MethodsThe article uses a review of the current literature on medical imaging and medical multimedia retrieval from the Pubmed and Google scholar literature search engines.  ...  Acknowledgements This work was partially funded by the European Union through the KnowARC project (grant 032691), the Swiss National Science Foundation (FNS, grant 205321-109304/1), and the HES SO through  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1055/s-0038-1638584">doi:10.1055/s-0038-1638584</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hkwclc43qnai5bn5oge7f5yffe">fatcat:hkwclc43qnai5bn5oge7f5yffe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190430194741/https://www.thieme-connect.de/products/ejournals/pdf/10.1055/s-0038-1638584.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/41/2e/412e12b939f7ff8c67e817779ee82a85d316379f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1055/s-0038-1638584"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Improved Content Based Medical Image Retrieval using PCA with SURF Features

<span title="2019-09-05">2019</span> <i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cj3bm7tgcffurfop7xzswxuks4" style="color: black;">VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE</a> </i> &nbsp;
The combination of this method produces an accurate and quick response than other conventional methods like SIFT and SURF feature vector based medical image retrieval.  ...  in this paper focused on retrieve the correct query image from a huge number of medical image databases with the help of Principal Component Analysis (PCA) through SURF feature vector detection.  ...  The combination of this method produces an accurate and quick response than other conventional methods like SIFT and SURF feature vector based medical image retrieval.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijitee.j1020.08810s19">doi:10.35940/ijitee.j1020.08810s19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pvrumx4aqjhunjopde7537mckq">fatcat:pvrumx4aqjhunjopde7537mckq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220311132221/https://www.ijitee.org/wp-content/uploads/papers/v8i10S/J102008810S19.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2e/d4/2ed4d5e15b042b5dc686d5e792b4eadd6b8201a0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijitee.j1020.08810s19"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
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