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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  
The performance of text-based and image-based access, as well as combined document features, is compared. Image analysis proves more adequate for both the indexing and retrieval of the images.  ...  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

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
2013 International Journal of Multimedia Information Retrieval  
To minimize limitations of low-level feature representations in content-based image retrieval (CBIR), and to complement text-based search, we propose a multi-modal image search approach that exploits hierarchical  ...  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.  ...  , shape) image features instead of using textual description.  ... 
doi:10.1007/s13735-013-0038-4 fatcat:cl7yikyncjaknivblsixnjbe74

Medical case retrieval

Mario Taschwer
2014 Proceedings of the ACM International Conference on Multimedia - MM '14  
runs achieved only moderate retrieval performance and used purely textual techniques.  ...  retrieval (MCR).  ...  [22] successfully applied fusion techniques to multimodal biomedical image retrieval.  ... 
doi:10.1145/2647868.2654856 dblp:conf/mm/Taschwer14 fatcat:5j5lfzz3jbbzxbcuw6opdkedn4

Medical Image Retrieval: A Multimodal Approach

Yu Cao, Shawn Steffey, Jianbiao He, Degui Xiao, Cui Tao, Ping Chen, Henning Müller
2014 Cancer Informatics  
Experimental results with large volume of real-world medical images have shown that our new approach is a promising solution for the next-generation medical imaging indexing and retrieval system.  ...  In this paper, we develop a new multimodal medical image retrieval approach based on the recent advances in the statistical graphic model and deep learning.  ...  Acknowledgments The authors would like to thank Chyeeka Brown and Huijuan Xu for contributing on part of the system implementation. Author contributions  ... 
doi:10.4137/cin.s14053 pmid:26309389 pmcid:PMC4533857 fatcat:axi6x7234ncwrowi3zs6j7dl7a

Ontology for fMRI as a Biomedical Informatics Method

Toshiharu NAKAI, Epifanio BAGARINAO, Yoshio TANAKA, Kayako MATSUO, Daniel RACOCEANU
2008 Magnetic Resonance in Medical Sciences  
for extracting, processing, storing, and retrieving information.  ...  Ontological engineering is one of the most challenging topics in biomedical informatics because of its key role in integrating the heterogeneous database used by biomedical information services.  ...  This retrospective approach is closer to indexing text contents than controlling lexicons for coding schemes to frame the features of images and pathology.  ... 
doi:10.2463/mrms.7.141 pmid:18827457 fatcat:z4qijfvlqzfojllunm47furzkq

Interactive Indexing and Retrieval of Multimedia Content [chapter]

Marcel Worring, Andrew Bagdanov, Jan v. Gemert, Geusebroek Jan-Mark, Hoang Minh, Guus Schreiber, Cees Snoek, Jeroen Vendrig, Jan Wielemaker, Arnold Smeulders
2002 Lecture Notes in Computer Science  
The indexing and retrieval of multimedia items is difficult due to the semantic gap between the user's perception of the data and the descriptions we can derive automatically from the data using computer  ...  These methods can be automatic, but in general the indexing and retrieval of multimedia items should be a collaborative process between the system and the user.  ...  In the classification of document and biomedical images, the features were used to classify an unknown multimedia item into a class.  ... 
doi:10.1007/3-540-36137-5_8 fatcat:cajud2rbrja3zjzxb5axgszubm

Shangri-La: A medical case-based retrieval tool

Alba G. Seco de Herrera, Roger Schaer, Henning Müller
2017 Journal of the Association for Information Science and Technology  
It retrieves articles from the biomedical literature when querying a case description and attached images.  ...  Information retrieval systems are a useful tool to provide access to these documents/images in the biomedical literature related to information needs of medical professionals.  ...  images using visual features and textual context.  ... 
doi:10.1002/asi.23858 fatcat:l67hfolmtrgsbpjmzjp2qrypje

Combining visual features and text data for medical image retrieval using latent semantic kernels

Juan C. Caicedo, Jose G. Moreno, Edwin A. Niño, Fabio A. González
2010 Proceedings of the international conference on Multimedia information retrieval - MIR '10  
In this paper we propose an strategy to fuse visual features and unstructured-text data in a medical image retrieval system.  ...  The main goal of this work is to investigate whether the semantic information from text descriptions can be transferred to a visual similarity measure.  ...  Both images and text bring complete meaning to the document and they are complementary information for the reader. Image retrieval systems can exploit text descriptions to search only using keywords.  ... 
doi:10.1145/1743384.1743442 dblp:conf/mir/CaicedoMNG10 fatcat:jvbk72tepvczvmsjjdizqobzje


Abdeldjalil KHELASSI, Vania Vieira Estrela, Bernardo F Cruz, Joaquim T de Assis
2019 Medical Technologies Journal  
This paper applies the Standard Scale Invariant Feature Transform (S-SIFT) algorithm to accomplish the image descriptors of an eye region for a set of human eyes images from the UBIRIS database despite  ...  A descriptor with this type of invariance is sufficient to discern and describe a textured area regardless of the viewpoint and lighting in a perspective image, and it permits the identification of similar  ...  These ought to comprise studies of the value of using mixed primitive feature indexing of still multimodal images, cross-media questioning of the content of the video and other multimedia entities, and  ... 
doi:10.26415/2572-004x-vol3iss2p402-412 fatcat:os7hh7isandvtjcsiucekdapsu

A Medical Images Based Retrieval System Using Soft Computing Techniques

Pardeep Singh, Sanjay Sharma
2010 Zenodo  
In the medical field, images, and especially digital images, are produced in ever increasing quantities and used for diagnostics and therapy.  ...  It needs to be stated as well that the goal is not, in general, to replace text based retrieval methods as they exist at the moment.  ...  An image database can be indexed by using multiple pairs of feature extraction algorithms and similarity functions.  ... 
doi:10.5281/zenodo.1079569 fatcat:7xldz4bul5dsfeysevvyoenm3e

Comparative Study and Optimization of Feature-Extraction Techniques for Content based Image Retrieval

Aman Chadha, Sushmit Mallik, Ravdeep Johar
2012 International Journal of Computer Applications  
Several feature-extraction techniques viz., Average RGB, Color Moments, Co-occurrence, Local Color Histogram, Global Color Histogram and Geometric Moment have been critically compared in this paper.  ...  It enables the user to identify a region of interest and modify the initial query to refine and personalize the image retrieval results.  ...  Virage Video Engine [2] was developed for multimodal indexing and retrieval of videos.  ... 
doi:10.5120/8320-1959 fatcat:jmyasf2q5fbafkvsht2tnqq6ee

A Concise Survey on Datasets, Tools and Methods for Biomedical Text

R. Johnsi, G. Bharadwaja Kumar, Tulasi Prasad Sariki
2022 International Journal of Applied Engineering Research  
Biomedical text mining aims to retrieve useful information from large data efficiently and convert it into practical usage in a way of diagnosing symptoms, prevention, and treatment of diseases.  ...  This survey aims to bring out comprehensive tools, technologies, available Biomedical resources, algorithms and challenges faced in Biomedical text mining tasks.  ...  When a patient/ physician enters a query into the system using a graphical interface, the process of information retrieval begins. by the degree of similarity between the document and query descriptions  ... 
doi:10.37622/ijaer/17.3.2022.200-217 fatcat:2cw7f572rjfqvbnbrpq7gc75ue

Image retrieval

Ritendra Datta, Dhiraj Joshi, Jia Li, James Z. Wang
2008 ACM Computing Surveys  
We also discuss significant challenges involved in the adaptation of existing image retrieval techniques to build systems that can be useful in the real-world.  ...  In this paper, we survey almost 300 key theoretical and empirical contributions in the current decade related to image retrieval and automatic image annotation, and discuss the spawning of related sub-fields  ...  Most of the methods used for visual indexing are adopted from text-indexing research. In , R-trees are used for indexing images represented as attributed relational graphs (ARG).  ... 
doi:10.1145/1348246.1348248 fatcat:5jbcrsxkkbac5cya3zb7eb22ea

Deep learning in generating radiology reports: A survey

Maram Mahmoud A. Monshi, Josiah Poon, Vera Chung
2020 Artificial Intelligence in Medicine  
This presents a more practical and challenging application and moves towards bridging visual medical features and radiologist text.  ...  We focus our investigation on the following critical challenges: understanding radiology text/image structures and datasets, applying DL algorithms (mainly CNN and RNN), generating radiology text, and  ...  The incapability to construct direct multimodal mapping between radiology images and reports that input an image and output a descriptive report is a well-known shortcoming of most automatic diagnosis  ... 
doi:10.1016/j.artmed.2020.101878 pmid:32425358 pmcid:PMC7227610 fatcat:ccy2g2rh2zavdjjvvjlv7poxau

Combining Textual and Visual Information for Image Retrieval in the Medical Domain

Yiannis Gkoufas
2011 Open Medical Informatics Journal  
Exploitation on the use of linear combinations for image retrieval has been attempted by combining visual and textual sources of images.  ...  In particular, the mean average precision (MAP) has increased from 0.01 to 0.15 and 0.087 for 2009 and 2010 data, respectively, when content-based image retrieval (CBIR) is performed on the top 1000 results  ...  Our goal is to improve the performance of multimodal (text and image) information retrieval by combining both visual and semantic retrieval methods.  ... 
doi:10.2174/1874431101105010050 pmid:22163261 pmcid:PMC3178904 fatcat:uszffjypmbh47kuph6wigcr32a
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