Framework for Integration of Medical Image and Text-Based Report Retrieval to Support Radiological Diagnosis
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Andrew Stranieri | Amit Savyanavar | Siddhivinayak Kulkarni | Vijay Ram Ghorpade | Pradnya Kulkarni | A. Stranieri | S. Kulkarni | Pradnya Kulkarni | A. Savyanavar | V. Ghorpade
[1] Henning Müller,et al. Case-based fracture image retrieval , 2012, International Journal of Computer Assisted Radiology and Surgery.
[2] Noémie Elhadad,et al. Natural Language Processing in Health Care and Biomedicine , 2014 .
[3] Raveendran Paramesran,et al. On the computational aspects of Zernike moments , 2007, Image Vis. Comput..
[4] Kunio Doi,et al. Presentation of Similar Images as a Reference for Distinction Between Benign and Malignant Masses on Mammograms: Analysis of Initial Observer Study , 2009, Journal of Digital Imaging.
[5] Fabio A. González,et al. Histopathology Image Classification Using Bag of Features and Kernel Functions , 2009, AIME.
[6] David Page,et al. Information Extraction for Clinical Data Mining: A Mammography Case Study , 2009, 2009 IEEE International Conference on Data Mining Workshops.
[7] Sargur N. Srihari,et al. Decision Combination in Multiple Classifier Systems , 1994, IEEE Trans. Pattern Anal. Mach. Intell..
[8] C. Friedman. Semantic Text Parsing for Patient Records , 2005 .
[9] Rebecca S Lewis,et al. Disagreement in interpretation: a method for the development of benchmarks for quality assurance in imaging. , 2004, Journal of the American College of Radiology : JACR.
[10] B. S. Manjunath,et al. Unsupervised Segmentation of Color-Texture Regions in Images and Video , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[11] Cord Spreckelsen,et al. Towards case-based medical learning in radiological decision making using content-based image retrieval , 2011, BMC Medical Informatics Decis. Mak..
[12] Li Lan,et al. Classification of breast lesions with multimodality computer-aided diagnosis: observer study results on an independent clinical data set. , 2006, Radiology.
[13] Jessica W T Leung,et al. Performance benchmarks for diagnostic mammography. , 2005, Radiology.
[14] Stefan M. Rüger,et al. Exploring Image, Text and Geographic Evidences in ImageCLEF 2007 , 2007, CLEF.
[15] Hsinchun Chen,et al. Exploring the use of concept spaces to improve medical information retrieval , 2000, Decis. Support Syst..
[16] A. I. Cohn,et al. Expert system-controlled image display. , 1989, Radiology.
[17] Jong-Hak Lee,et al. Analyses of multiple evidence combination , 1997, SIGIR '97.
[18] Dan Shen,et al. Performance and Scalability of a Large-Scale N-gram Based Information Retrieval System , 2000, J. Digit. Inf..
[19] Gabriela Csurka,et al. XRCE's Participation to ImageCLEFphoto 2007 , 2007, CLEF.
[20] K. Doi,et al. Investigation of new psychophysical measures for evaluation of similar images on thoracic computed tomography for distinction between benign and malignant nodules. , 2003, Medical physics.
[21] Ronald C. Arkin,et al. Visual interaction: a link between perception and problem solving , 1991, Conference Proceedings 1991 IEEE International Conference on Systems, Man, and Cybernetics.
[22] Cordelia Schmid,et al. Improving Bag-of-Features for Large Scale Image Search , 2010, International Journal of Computer Vision.
[23] Wei-Pang Yang,et al. NCTU_DBLAB@ImageCLEFmed 2005: Medical Image Retrieval Task , 2005, CLEF.
[24] Andrew Stranieri,et al. Hybrid Technique Based on N-GRAM and Neural Networks for Classification of Mammographic Images , 2014 .
[25] Hermann Ney,et al. FIRE in ImageCLEF 2005: Combining Content-based Image Retrieval with Textual Information Retrieval , 2005, CLEF.
[26] Hermann Ney,et al. Image Retrieval and Annotation Using Maximum Entropy , 2006, CLEF.
[27] Lucila Ohno-Machado,et al. Natural language processing: an introduction , 2011, J. Am. Medical Informatics Assoc..
[28] Joon Ho Lee,et al. Combining multiple evidence from different properties of weighting schemes , 1995, SIGIR '95.
[29] Brijesh Verma,et al. Fuzzy logic based texture queries for CBIR , 2003, Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003.
[30] Xia Li,et al. Combination of Radiological and Gray Level Co-occurrence Matrix Textural Features Used to Distinguish Solitary Pulmonary Nodules by Computed Tomography , 2013, Journal of Digital Imaging.
[31] B. S. Manjunath,et al. Tools for texture- and color-based search of images , 1997, Electronic Imaging.
[32] Guojun Lu,et al. Image indexing and retrieval based on vector quantization , 2007, Pattern Recognit..
[33] Antoine Geissbühler,et al. Integrating Content-Based Visual Access Methods into a Medical Case Database , 2003, MIE.
[34] Marcelo Ossamu Honda,et al. Implementação e avaliação de um sistema de gerenciamento de imagens médicas com suporte à recuperação baseada em conteúdo , 2008 .
[35] Efstathios Stamatatos,et al. Words versus Character n-Grams for Anti-Spam Filtering , 2007, Int. J. Artif. Intell. Tools.
[36] Payel Ghosh,et al. Review of medical image retrieval systems and future directions , 2011, 2011 24th International Symposium on Computer-Based Medical Systems (CBMS).
[37] Daniel L. Rubin,et al. A hierarchical knowledge-based approach for retrieving similar medical images described with semantic annotations , 2014, J. Biomed. Informatics.
[38] Halil Kilicoglu,et al. Word sense disambiguation by selecting the best semantic type based on Journal Descriptor Indexing: Preliminary experiment , 2006 .
[39] Gabriela Csurka,et al. Unsupervised Visual and Textual Information Fusion in Multimedia Retrieval - A Graph-based Point of View , 2014, ArXiv.
[40] Roger Levy,et al. A new approach to cross-modal multimedia retrieval , 2010, ACM Multimedia.
[41] Stéfan Jacques Darmoni,et al. MedIC/CISMeF at ImageCLEF 2006: Image Annotation and Retrieval Tasks , 2006, CLEF.
[42] Wesley W. Chu,et al. The phrase-based vector space model for automatic retrieval of free-text medical documents , 2007, Data Knowl. Eng..
[43] Gabriela Csurka,et al. Semantic combination of textual and visual information in multimedia retrieval , 2011, ICMR.
[44] Riccardo Bellazzi,et al. Supporting decisions in medical applications: the knowledge management perspective , 2002, Int. J. Medical Informatics.
[45] Andrew Stranieri,et al. VISUAL CHARACTER N-GRAMS FOR CLASSIFICATION AND RETRIEVAL OF RADIOLOGICAL IMAGES , 2014 .
[46] Anil K. Jain,et al. Image retrieval using color and shape , 1996, Pattern Recognit..
[47] R. Manmatha,et al. A Model for Learning the Semantics of Pictures , 2003, NIPS.
[48] K. Doi,et al. Investigation of psychophysical measure for evaluation of similar images for mammographic masses: Preliminary results. , 2005, Medical physics.
[49] Philipp Daumke,et al. Intelligent image retrieval based on radiology reports , 2012, European Radiology.
[50] Dragutin Petkovic,et al. Query by Image and Video Content: The QBIC System , 1995, Computer.
[51] Gerard Salton,et al. The SMART Retrieval System—Experiments in Automatic Document Processing , 1971 .
[52] P L Miller,et al. Knowledge-based radiologic image retrieval using axes of clinical relevance. , 1990, Computers and biomedical research, an international journal.
[53] Pierre Tirilly,et al. Language modeling for bag-of-visual words image categorization , 2008, CIVR '08.
[54] Robert M. Haralick,et al. Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..
[55] Mohan S. Kankanhalli,et al. Multimodal fusion for multimedia analysis: a survey , 2010, Multimedia Systems.
[56] Jacques Wainer,et al. Assessing the Need for Referral in Automatic Diabetic Retinopathy Detection , 2013, IEEE Transactions on Biomedical Engineering.
[57] J. Lancaster,et al. Rates of disagreement in imaging interpretation in a group of community hospitals. , 1998, Academic radiology.
[58] Barbara Caputo,et al. CLEF2008 Image Annotation Task: an SVM Confidence-Based Approach , 2008, CLEF.
[59] José Carlos González,et al. MIRACLE's Combination of Visual and Textual Queries for Medical Image Retrieval , 2005, CLEF.
[60] H. Greenspan,et al. Automated retrieval of CT images of liver lesions on the basis of image similarity: method and preliminary results. , 2010, Radiology.
[61] Andy Way,et al. Dublin City University at CLEF 2004: Experiments with the ImageCLEF St. Andrew's Collection , 2004, CLEF.
[62] Jinchang Ren,et al. ANN vs. SVM: Which one performs better in classification of MCCs in mammogram imaging , 2012, Knowl. Based Syst..
[63] Christos Faloutsos,et al. QBIC project: querying images by content, using color, texture, and shape , 1993, Electronic Imaging.
[64] Guido C. H. E. de Croon,et al. Multi-modal Information Retrieval Using FINT , 2004, CLEF.
[65] H K Huang,et al. Image-matching as a medical diagnostic support tool (DST) for brain diseases in children. , 2005, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.
[66] M. F. Porter,et al. An algorithm for suffix stripping , 1997 .
[67] Claudio Carpineto,et al. A Survey of Automatic Query Expansion in Information Retrieval , 2012, CSUR.
[68] Meng Wang,et al. Text Mining in Multimedia , 2012, Mining Text Data.
[69] Carla E. Brodley,et al. ASSERT: A PHYSICIAN-IN-THE-LOOP CONTENT-BASED IMAGE RETRIEVAL SYSTEM FOR HRCT IMAGE DATABASES , 1999 .
[70] Agma J. M. Traina,et al. MultiWaveMed: a system for medical image retrieval through wavelets transformations , 2003, 16th IEEE Symposium Computer-Based Medical Systems, 2003. Proceedings..
[71] Antoine Geissbühler,et al. A Review of Content{Based Image Retrieval Systems in Medical Applications { Clinical Bene(cid:12)ts and Future Directions , 2022 .
[72] Diana Inkpen,et al. Clustering for Photo Retrieval at Image CLEF 2008 , 2008, CLEF.
[73] L. Rodney Long,et al. Evaluation of shape similarity measurement methods for spine X-ray images , 2004, J. Vis. Commun. Image Represent..
[74] G. Rubin,et al. Data explosion: the challenge of multidetector-row CT. , 2000, European journal of radiology.
[75] Haejun Lee,et al. Medical Image Retrieval: Past and Present , 2012, Healthcare informatics research.
[76] James Ze Wang,et al. Image retrieval: Ideas, influences, and trends of the new age , 2008, CSUR.
[77] Eric Y. Tao,et al. Computer-aided, case-based diagnosis of mammographic regions of interest containing microcalcifications. , 2000, Academic radiology.
[78] Hermann Ney,et al. Statistical framework for model-based image retrieval in medical applications , 2003, J. Electronic Imaging.
[79] C. Langlotz. RadLex: a new method for indexing online educational materials. , 2006, Radiographics : a review publication of the Radiological Society of North America, Inc.
[80] Christophe Moulin,et al. UJM at ImageCLEFwiki 2008 , 2008, CLEF.
[81] Edward A. Fox,et al. Combination of Multiple Searches , 1993, TREC.
[82] Marcel Worring,et al. Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[83] Muhammad Hussain,et al. Mass detection in digital mammograms using Gabor filter bank , 2012 .
[84] Kent A. Spackman,et al. SNOMED clinical terms: overview of the development process and project status , 2001, AMIA.
[85] Carla E. Brodley,et al. ASSERT: A Physician-in-the-Loop Content-Based Retrieval System for HRCT Image Databases , 1999, Comput. Vis. Image Underst..
[86] Joo-Hwee Lim,et al. VisMed: A Visual Vocabulary Approach for Medical Image Indexing and Retrieval , 2005, AIRS.
[87] Michael Isard,et al. Object retrieval with large vocabularies and fast spatial matching , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[88] Agma J. M. Traina,et al. From Bag-of-Visual-Words to Bag-of-Visual-Phrases Using n-Grams , 2013, 2013 XXVI Conference on Graphics, Patterns and Images.
[89] Andrew Zisserman,et al. Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[90] Xiaohui Liu,et al. Mammogram retrieval on similar mass lesions , 2012, Comput. Methods Programs Biomed..
[91] Ying Zhang,et al. Bag-of-Features Based Classification of Breast Parenchymal Tissue in the Mammogram via Jointly Selecting and Weighting Visual Words , 2011, 2011 Sixth International Conference on Image and Graphics.
[92] L. Rodney Long,et al. A system for searching uterine cervix images by visual attributes , 2009, 2009 22nd IEEE International Symposium on Computer-Based Medical Systems.
[93] R. Manmatha,et al. Automatic image annotation and retrieval using cross-media relevance models , 2003, SIGIR.
[94] Amarnath Gupta,et al. Virage image search engine: an open framework for image management , 1996, Electronic Imaging.
[95] Henning Müller,et al. Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography , 2010, Artif. Intell. Medicine.
[96] Hayit Greenspan,et al. X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words , 2011, IEEE Transactions on Medical Imaging.
[97] José Carlos González,et al. MIRACLE at ImageCLEFmed 2007: Merging Textual and Visual Strategies to Improve Medical Image Retrieval , 2007, CLEF.
[98] Gwénolé Quellec,et al. Wavelet optimization for content-based image retrieval in medical databases , 2010, Medical Image Anal..
[99] Wen Gao,et al. Effective and efficient object-based image retrieval using visual phrases , 2006, MM '06.
[100] Manisha Sharma,et al. Novel System for Color Logo Recognition Using Optimization and Learning Based Relevance Feedback Technique , 2017, Int. J. Comput. Vis. Image Process..
[101] Ian W. Ricketts,et al. The Mammographic Image Analysis Society digital mammogram database , 1994 .
[102] K. Doi,et al. Potential usefulness of similar images in the differential diagnosis of clustered microcalcifications on mammograms. , 2009, Radiology.
[103] Yi-fang Brook Wu,et al. Identifying important concepts from medical documents , 2006, J. Biomed. Informatics.
[104] Henning Müller,et al. Fusion Techniques for Combining Textual and Visual Information Retrieval , 2010, ImageCLEF.
[105] Thomas Martin Deserno,et al. Web-based bone age assessment by content-based image retrieval for case-based reasoning , 2012, International Journal of Computer Assisted Radiology and Surgery.
[106] Berkman Sahiner,et al. Similarity evaluation in a content-based image retrieval (CBIR) CADx system for characterization of breast masses on ultrasound images. , 2011, Medical physics.
[107] Hayit Greenspan,et al. Content-Based Image Retrieval in Radiology: Current Status and Future Directions , 2010, Journal of Digital Imaging.
[108] Stephen Chu,et al. Knowledge representation and retrieval using conceptual graphs and free text document self-organisation techniques , 2001, Int. J. Medical Informatics.
[109] Adil Alpkocak,et al. DEU at ImageCLEFmed 2009: Evaluating a Re-ranking and Integrated Retrieval Model , 2009, CLEF.
[110] Wendy W. Chapman,et al. A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries , 2001, J. Biomed. Informatics.
[111] Alex Pentland,et al. Photobook: Content-based manipulation of image databases , 1996, International Journal of Computer Vision.
[112] Antoine Geissbühler,et al. Case-based lung image categorization and retrieval for interstitial lung diseases: clinical workflows , 2011, International Journal of Computer Assisted Radiology and Surgery.
[113] D. Abraham Chandy,et al. Texture feature extraction using gray level statistical matrix for content-based mammogram retrieval , 2013, Multimedia Tools and Applications.
[114] Juan Miguel Ortiz-de-Lazcano-Lobato,et al. A Growing Neural Gas Approach to Classify Vehicles in Traffic Environments , 2017, Int. J. Comput. Vis. Image Process..
[115] Henning Müller. Medical (Visual) Information Retrieval , 2012, PROMISE Winter School.
[116] Masahiro Endo,et al. Content-based image-retrieval system in chest computed tomography for a solitary pulmonary nodule: method and preliminary experiments , 2012, International Journal of Computer Assisted Radiology and Surgery.
[117] John P. Eakins,et al. Towards intelligent image retrieval , 2002, Pattern Recognit..
[118] George R. Thoma,et al. Biomedical CBIR using “bag of keypoints” in a modified inverted index , 2011, 2011 24th International Symposium on Computer-Based Medical Systems (CBMS).
[119] Daniel Racoceanu,et al. A Semantic Fusion Approach Between Medical Images and Reports Using UMLS , 2006, AIRS.
[120] Jerry L Prince,et al. Current methods in medical image segmentation. , 2000, Annual review of biomedical engineering.
[121] M R Ramaswamy,et al. MoSearch: a radiologist-friendly tool for finding-based diagnostic report and image retrieval. , 1996, Radiographics : a review publication of the Radiological Society of North America, Inc.
[122] Haifeng Xu,et al. Content-based retrieval in picture archiving and communication systems , 2009, Journal of Digital Imaging.
[123] Daniel Racoceanu,et al. Fusing Visual and Clinical Information for Lung Tissue Classification in HRCT Data , 2009 .
[124] Hichem Sahbi,et al. TELECOMParisTech at ImageClefphoto 2008: Bi-Modal Text and Image Retrieval with Diversity Enhancement , 2008, CLEF.
[125] Henning Müller,et al. Overview of the ImageCLEF 2013 Medical Tasks , 2013, CLEF.
[126] Toufik Taibi. Design Pattern Formalization Techniques , 2007 .
[127] Stéphane Marchand-Maillet,et al. Information Fusion in Multimedia Information Retrieval , 2007, Adaptive Multimedia Retrieval.
[128] Ana M. García-Serrano,et al. Experiences at ImageCLEF 2010 using CBIR and TBIR Mixing Information Approaches , 2010, CLEF.
[129] Clement J. McDonald,et al. What can natural language processing do for clinical decision support? , 2009, J. Biomed. Informatics.
[130] José L. V. Mejino,et al. A reference ontology for biomedical informatics: the Foundational Model of Anatomy , 2003, J. Biomed. Informatics.
[131] A. Kak,et al. Automated storage and retrieval of thin-section CT images to assist diagnosis: system description and preliminary assessment. , 2003, Radiology.
[132] Yue Li,et al. Mammogram retrieval through machine learning within BI-RADS standards , 2011, J. Biomed. Informatics.
[133] Ying Liu,et al. A survey of content-based image retrieval with high-level semantics , 2007, Pattern Recognit..
[134] Gabriela Csurka,et al. Crossing textual and visual content in different application scenarios , 2009, Multimedia Tools and Applications.
[135] William R. Hersh,et al. Information Retrieval in Medicine: The SAPHIRE Experience , 1995 .
[136] Keith J Dreyer,et al. Informatics in radiology: Render: an online searchable radiology study repository. , 2009, Radiographics : a review publication of the Radiological Society of North America, Inc.
[137] Fuhui Long,et al. Fundamentals of Content-Based Image Retrieval , 2003 .
[138] Frederico Valente,et al. Dicoogle, a Pacs Featuring Profiled Content Based Image Retrieval , 2013, PloS one.
[139] Chang-Tsun Li,et al. A general framework for content-based medical image retrieval with its application to mammograms , 2005, SPIE Medical Imaging.
[140] Don R. Hush,et al. Query by image example: The CANDID approach , 1995 .
[141] Tsunemitsu Horie,et al. Does image reduction affect the diagnostic accuracy of digital mammograms? , 2013, Medical Imaging.