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Computer-aided diagnostics of screening mammography using content-based image retrieval

Thomas M. Deserno, Michael Soiron, Júlia E. E. de Oliveira, Arnaldo de A. Araújo, Bram van Ginneken, Carol L. Novak
2012 Medical Imaging 2012: Computer-Aided Diagnosis  
In the last years, screening mammography has been established worldwide for early detection of breast cancer, and computer-aided diagnostics (CAD) is being developed to assist physicians reading mammograms  ...  A promising method for CAD is content-based image retrieval (CBIR). Recently, we have developed a classification scheme of suspicious tissue pattern based on the support vector machine (SVM).  ...  State of the art in computer-sided diagnosis of screening mammography.  ... 
doi:10.1117/12.912392 dblp:conf/micad/DesernoSOA12 fatcat:h77uhl4cyvdf3me4yflrdcx36u

A Review of Computer-Aided Detection and Diagnosis of Breast Cancer in Digital Mammography

Luqman Mahmood Mina, Nor Ashidi Mat Isa
2015 Journal of Medical Sciences  
Studies have shown that the sensitivity of screening mammography is influenced by image quality and the radiologist's level of proficiency.  ...  Computer Aided Detection systems (CAD) of high accuracy.  ...  COMPUTER-AIDED DETECTION AND DIAGNOSIS (CAD) Computer-Aided Detection (CAD) is a technique that combines diagnostic imaging with computer science, image processing, pattern recognition and artificial intelligence  ... 
doi:10.3923/jms.2015.110.121 fatcat:s2qvzcp7hndtdkrbwyv3rdz3bq

Descriptive analysis of computational methods for automating mammograms with practical applications [article]

Aparna Bhale, Manish Joshi
2020 arXiv   pre-print
Practical applications of mammograms are not limited to breast cancer revealing, identification ,but include task based lens design, image compression, image classification, content based image retrieval  ...  Digital mammograms are mammography images available along with the conventional screen-film mammography to make automation of mammograms easier.  ...  Content Based Image Retrieval Content based image retrieval (CBIR) engages recovery of pertinent or alike images corresponding to a query image. It is a next step of image recognition.  ... 
arXiv:2010.03378v1 fatcat:5mokkfho6ffvbai7rcdpytszj4

Prototypes for Content-Based Image Retrieval in Clinical Practice

Adrien Depeursinge
2011 Open Medical Informatics Journal  
Content-based image retrieval (CBIR) has been proposed as key technology for computer-aided diagnostics (CAD).  ...  From 2009 to 2011, the programs of CADdemo@CARS and the CAD Demonstration Workshop at SPIE Medical Imaging were sought for the key word "retrieval" in the title.  ...  ACKNOWLEDGEMENTS This work was supported by the European Union, Marie Curie Actions, International Research Staff Exchange Scheme (FP7-PEOPLE-2010-IRSES, Project No 269124, Warehousing images in the digital  ... 
doi:10.2174/1874431101105010058 pmid:21892374 pmcid:PMC3149811 fatcat:qf4z2x4ayffmbgd2wk72s3p7nq

A Similarity Learning Approach to Content-Based Image Retrieval: Application to Digital Mammography

I. El-Naqa, Y. Yang, N.P. Galatsanos, R.M. Nishikawa, M.N. Wernick
2004 IEEE Transactions on Medical Imaging  
Index Terms-Content-based image retrieval, kernel methods, mammogram, digital radiography, computer-aided diagnosis, relevance feedback.  ...  Content-based image retrieval (CBIR) refers to the retrieval of images from a database using information derived from the images themselves, rather than solely from accompanying text indices.  ...  In CBIR quantitative image features, computed automatically, are used to characterize image content.  ... 
doi:10.1109/tmi.2004.834601 pmid:15493691 fatcat:rou34ywrabeerdr7mfkdo7vhpq

A Decision Support System (DSS) for Breast Cancer Detection Based on Invariant Feature Extraction, Classification, and Retrieval of Masses of Mammographic Images [chapter]

Mahmudur Rahman, Nuh Alpaslan
2018 Medical Imaging and Image-Guided Interventions [Working Title]  
The image retrieval and classification performances are evaluated and compared in the benchmark Digital Database for Screening Mammography (DDSM) of 2604 cases by using both the precision-recall and classification  ...  Towards achieving this goal, a Graph-Based Visual Saliency (GBVS) method is used for automatic mass detection, invariant features are extracted based on using Non-Subsampled Contourlet transform (NSCT)  ...  [30] proposed an adaptive classification scheme in the context of SVM assisted by content-based image retrieval to improve the classification accuracy in the computer aided diagnosis for breast cancer  ... 
doi:10.5772/intechopen.81119 fatcat:vgvg2xrqebht7b5caaij3fn5ny

Reduction of Surgical Risk Through the Evaluation of Medical Imaging Diagnostics [article]

Marco A. V. M. Grinet, Nuno M. Garcia, Ana I. R. Gouveia, Jose A. F. Moutinho, Abel J. P. Gomes
2020 arXiv   pre-print
Computer aided diagnosis (CAD) of Breast Cancer (BRCA) images has been an active area of research in recent years.  ...  In this paper, we present a review of the state of the art CAD methods applied to magnetic resonance (MRI) and mammography images of BRCA patients.  ...  Mammography Mammography is an X-ray based imaging modality and is the most commonly used radiographic imaging used by clinicians to screen for and detect BRCA [33 -36] , microcalcifications [37] , and  ... 
arXiv:2003.08748v1 fatcat:lxqozhrhwbctxarmrevtbo6caa

Bridging the integration gap between imaging and information systems: a uniform data concept for content-based image retrieval in computer-aided diagnosis

Petra Welter, Jörg Riesmeier, Benedikt Fischer, Christoph Grouls, Christiane Kuhl, Thomas M Deserno (né Lehmann)
2011 JAMIA Journal of the American Medical Informatics Association  
It is widely accepted that content-based image retrieval (CBIR) can be extremely useful for computer-aided diagnosis (CAD). However, CBIR has not been established in clinical practice yet.  ...  As a widely unattended gap of integration, a unified data concept for CBIR-based CAD results and reporting is lacking.  ...  Figure 1 1 Composition of the content-based image retrieval Structured Reporting template.  ... 
doi:10.1136/amiajnl-2010-000011 pmid:21672913 pmcid:PMC3128392 fatcat:3twf2blfs5e6bing6p4shtr54u

Characterization of Tumor Region Using SOM and Neuro Fuzzy Techniques in Digital Mammography

Anamika Ahirwar, R.S Jadon
2011 International Journal of Computer Science & Information Technology (IJCSIT)  
In this paper we are using SOM and Fuzzy c-means clustering techniques for tumor detection in digital mammography images.  ...  Nowadays the most common type of cancer in women is breast cancer. This is the second main cause of cancer deaths in women. Digital mammography is the technique which is used to examine the breast.  ...  Computer aided diagnosis techniques are bring into play to improve the diagnostic accuracy and efficacy of screening mammography.  ... 
doi:10.5121/ijcsit.2011.3114 fatcat:lbnqohouezb3flzyh2flfknlyy

Content-based Retrieval of Mammograms Using Visual Features Related to Breast Density Patterns

Sérgio Koodi Kinoshita, Paulo Mazzoncini de Azevedo-Marques, Roberto Rodrigues Pereira, Jośe Antônio Heisinger Rodrigues, Rangaraj Mandayam Rangayyan
2007 Journal of digital imaging  
This paper describes part of content-based image retrieval (CBIR) system that has been developed for mammograms.  ...  Performance evaluation was done using precision and recall curves obtained from comparison between the query and retrieved images.  ...  related reports used in this work.  ... 
doi:10.1007/s10278-007-9004-0 pmid:17318705 pmcid:PMC3043906 fatcat:ob6o5es2ebb4dbbccgf2lpvlsa

Front Matter: Volume 9785

2016 Medical Imaging 2016: Computer-Aided Diagnosis  
using a Base 36 numbering system employing both numerals and letters.  ...  of SPIE Vol. 9785 978501-3 Downloaded From: https://www.spiedigitallibrary.org/conference-proceedings-of-spie on 7/22/2018 Terms of Use: https://www.spiedigitallibrary.org/terms-of-use iv Proc. of SPIE  ...  : a computer aided diagnostic and clinical research tool [9785-91] 9785 2L Automated detection of retinal nerve fiber layer defects on fundus images: false positive reduction based on vessel likelihood  ... 
doi:10.1117/12.2240961 dblp:conf/micad/X16 fatcat:b5addnksdrgp3ixwvbjt53xeqe

Evaluating the Effect of Image Preprocessing on an Information-Theoretic CAD System in Mammography

Georgia D. Tourassi, Robert Ike, Swatee Singh, Brian Harrawood
2008 Academic Radiology  
Rationale and Objectives-In our earlier studies we reported an evidence-based Computer Assisted Decision (CAD) system for location-specific interrogation of mammograms.  ...  A contentbased image retrieval framework with information theoretic (IT) similarity measures serves as the foundation for this system.  ...  The clinical significance of early breast cancer diagnosis and the higher than desired false negative rate of screening mammography have motivated the development of Computer Aided Detection (CADe) systems  ... 
doi:10.1016/j.acra.2007.12.013 pmid:18423320 pmcid:PMC2386583 fatcat:b4cqmwqjfvacfmlq4kv5w6h7pu

Radiological images and machine learning: Trends, perspectives, and prospects

Zhenwei Zhang, Ervin Sejdić
2019 Computers in Biology and Medicine  
and neurological disease diagnosis, as well as computer-aided systems, image registration, and content-based image retrieval systems.  ...  Recent advances in machine learning have the potential to recognize and classify complex patterns from different radiological imaging modalities such as x-rays, computed tomography, magnetic resonance  ...  The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.  ... 
doi:10.1016/j.compbiomed.2019.02.017 pmid:31054502 pmcid:PMC6531364 fatcat:tcyorm6g3ff6dg7ty2ubtqorjq

An Adaptive K-means Clustering Algorithm for Breast Image Segmentation

Bhagwati Charan Patel, G.R. Sinha
2010 International Journal of Computer Applications  
In order to increase radiologist's diagnostic performance, several computer-aided diagnosis (CAD) schemes have been developed to improve the detection of primary identification of this disease.  ...  In this paper, an attempt is made to develop an adaptive k-means clustering algorithm for breast image segmentation for the detection of micro calcifications and also a computer based decision system for  ...  The most common screening methods are mammography and sonography. Compared to mammography, breast ultrasound examinations have several advantages [5] .  ... 
doi:10.5120/1467-1982 fatcat:lod6hgl2dzhyti2mjgcyjp46by

Construction of an index of information from clinical practice in Radiology and Imaging Diagnosis based on text mining and thesaurus

Paulo Roberto Barbosa Serapião, Rogério Honório Junior, Marcelo Alexandre Santos, Luiz Ricardo Albano dos Santos, José Carlos Bueno de Moraes, Paulo Mazzoncini de Azevedo Marques
2013 Radiologia Brasileira  
Objective: To construct a Portuguese language index of information on the practice of diagnostic radiology in order to improve the standardization of the medical language and terminology.  ...  The text mining technique was applied for the selection of terms, and the ANSI/ NISO Z39.19-2005 standard was utilized to construct the index based on a thesaurus structure.  ...  Normand Péladeu, of Provalis Research, for his assistance for understanding the utilization of the data mining tool, and also for the valuable indication of bibliography; to CKE applications, for the web  ... 
doi:10.1590/s0100-39842013000500005 fatcat:cygmdk5qpbfc3lbmsjv2f6u3ju
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