Breast biopsy

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Several methods for a breast biopsy now exist. (Wikipedia.org)






Conferences related to Breast biopsy

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2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob)

The RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics - BioRob 2018 - is a joint effort of the two IEEE Societies of Robotics and Automation - RAS - and Engineering in Medicine and Biology - EMBS.BioRob covers both theoretical and experimental challenges posed by the application of robotics and mechatronics in medicine and biology. The primary focus of Biorobotics is to analyze biological systems from a "biomechatronic" point of view, trying to understand the scientific and engineering principles underlying their extraordinary performance. This profound understanding of how biological systems work, behave and interact can be used for two main objectives: to guide the design and fabrication of novel, high performance bio-inspired machines and systems for many different applications; and to develop novel nano, micro-, macro- devices that can act upon, substitute parts of, and assist human beings in prevention, diagnosis, surgery, prosthetics, rehabilitation.


2018 IEEE Statistical Signal Processing Workshop (SSP)

SSP 2018 is the 20th in a series of unique meetings that bring members of the IEEE Signal Processing Society together with researchers from allied fields such as bioinformatics, communications, machine learning, and statistics. The scope of the workshop includes basic theory, methods and algorithms, and applications. SSP is a single-track workshop that includes invited talks, demonstrations and oral and poster presentations of refereed papers.


2017 12th Iberian Conference on Information Systems and Technologies (CISTI)

CISTI is a technical and scientific event, whose purpose is to present and discuss knowledge, new perspectives, experiences and innovations in the Information Systems and Technologies field.


2017 12th International Conference on Computer Engineering and Systems (ICCES)

Computer Engineering and Systems


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Periodicals related to Breast biopsy

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Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


Image Processing, IEEE Transactions on

Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.


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Most published Xplore authors for Breast biopsy

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Xplore Articles related to Breast biopsy

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Methods for predicting mechanical deformations in the breast during clinical breast biopsy

F. S. Azar; D. N. Metaxas; R. T. Miller; M. D. Schall Proceedings of the IEEE 26th Annual Northeast Bioengineering Conference (Cat. No.00CH37114), 2000

A new method for clinical breast biopsy is presented, based on a deformable finite element model of the breast. The geometry of the model is constructed from MR data, and its mechanical properties are based on a nonlinear material model. This method allows imaging the breast without compression before the procedure, then compressing the breast and using the finite element ...


UCSF/LLNL high resolution digital mammogram library

A. E. Ashby; J. M. Hernandez; C. M. Logan; L. N. Mascio; S. Frankel; W. P. Kegelmeyer Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society, 1995

Several institutions have developed algorithms for detection of microcalcifications as indicators of possible malignancy in digital mammograms. Relative sensitivity and specificity of these different algorithms has been difficult to evaluate because they have been tested on a variety of mammograms of varying pixel resolution and pathology. We present a library of mammograms digitized at 35 micrometers for evaluating the relative ...


Computer diagnosis of mammographic masses

R. P. Velthuizen Proceedings 29th Applied Imagery Pattern Recognition Workshop, 2000

The objective of this work is to provide a probability of malignancy of a mammographic mass to the interpreting physician. Using the location of a mass, it is automatically segmented using fuzzy clustering. Features are extracted from the segmentation results using morphological, first-order statistical, and texture measures. Selection of relevant features is done using sequential selection. Fitness functions are based ...


Automated grading of breast cancer histopathology using spectral clustering with textural and architectural image features

Scott Doyle; Shannon Agner; Anant Madabhushi; Michael Feldman; John Tomaszewski 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

In this paper we present a novel image analysis methodology for automatically distinguishing low and high grades of breast cancer from digitized histopathology. A set of over 3,400 image features, including textural and nuclear architecture based features, are extracted from a database of 48 breast biopsy tissue studies (30 cancerous and 18 benign images). Spectral clustering is used to reduce ...


A neural network assisted algorithm for automated detection of breast cancer nuclei

N. Tsapatsoulis; F. Schnorrenberg; C. Pattichis; S. Kollias; C. Schizas Proceedings of 13th International Conference on Digital Signal Processing, 1997

A neural network assisted algorithm used for the detection of nuclei in biopsy images is presented. This algorithm is combined in a logical AND form with an algorithm based on receptive fields to build the nuclei detection part of an integrated system used for automated assessing of histological slides of breast biopsy specimens


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Educational Resources on Breast biopsy

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eLearning

Methods for predicting mechanical deformations in the breast during clinical breast biopsy

F. S. Azar; D. N. Metaxas; R. T. Miller; M. D. Schall Proceedings of the IEEE 26th Annual Northeast Bioengineering Conference (Cat. No.00CH37114), 2000

A new method for clinical breast biopsy is presented, based on a deformable finite element model of the breast. The geometry of the model is constructed from MR data, and its mechanical properties are based on a nonlinear material model. This method allows imaging the breast without compression before the procedure, then compressing the breast and using the finite element ...


UCSF/LLNL high resolution digital mammogram library

A. E. Ashby; J. M. Hernandez; C. M. Logan; L. N. Mascio; S. Frankel; W. P. Kegelmeyer Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society, 1995

Several institutions have developed algorithms for detection of microcalcifications as indicators of possible malignancy in digital mammograms. Relative sensitivity and specificity of these different algorithms has been difficult to evaluate because they have been tested on a variety of mammograms of varying pixel resolution and pathology. We present a library of mammograms digitized at 35 micrometers for evaluating the relative ...


Computer diagnosis of mammographic masses

R. P. Velthuizen Proceedings 29th Applied Imagery Pattern Recognition Workshop, 2000

The objective of this work is to provide a probability of malignancy of a mammographic mass to the interpreting physician. Using the location of a mass, it is automatically segmented using fuzzy clustering. Features are extracted from the segmentation results using morphological, first-order statistical, and texture measures. Selection of relevant features is done using sequential selection. Fitness functions are based ...


Automated grading of breast cancer histopathology using spectral clustering with textural and architectural image features

Scott Doyle; Shannon Agner; Anant Madabhushi; Michael Feldman; John Tomaszewski 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

In this paper we present a novel image analysis methodology for automatically distinguishing low and high grades of breast cancer from digitized histopathology. A set of over 3,400 image features, including textural and nuclear architecture based features, are extracted from a database of 48 breast biopsy tissue studies (30 cancerous and 18 benign images). Spectral clustering is used to reduce ...


A neural network assisted algorithm for automated detection of breast cancer nuclei

N. Tsapatsoulis; F. Schnorrenberg; C. Pattichis; S. Kollias; C. Schizas Proceedings of 13th International Conference on Digital Signal Processing, 1997

A neural network assisted algorithm used for the detection of nuclei in biopsy images is presented. This algorithm is combined in a logical AND form with an algorithm based on receptive fields to build the nuclei detection part of an integrated system used for automated assessing of histological slides of breast biopsy specimens


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