Conferences related to Breast tissue

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2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting

The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science


2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Industrial Technology (ICIT)

ICIT focuses on industrial and manufacturing applications of electronics, controls, communications, instrumentation, and computational intelligence.


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Periodicals related to Breast tissue

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


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.


Control Systems Technology, IEEE Transactions on

Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.


Electrical and Computer Engineering, Canadian Journal of

The Canadian Journal of Electrical and Computer Engineering, issued quarterly, has been publishing high-quality refereed scientific papers in all areas of electrical and computer engineering since 1976. Sponsored by IEEE Canada (The Institute of Electrical and Electronics Engineers, Inc., Canada) as a part of its role to provide scientific and professional activity for its members in Canada, the CJECE complements ...


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Most published Xplore authors for Breast tissue

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Xplore Articles related to Breast tissue

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Digital mammographic image analysis and data compression

Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286), 1998

This paper proposes a digital mammogram segmentation method for mammographic images, which is based on the gradient detection between breast tissue and non-tissue area. Detection of tissue edge in medical images is closely related to the correctness of image segmentation. In this paper, we focus on digital mammograms and develop an edge detection method to extract breast tissue against background ...


Improvement of artificial neural network detection of breast cancer using broadband dual polarized antenna

2007 IEEE Antennas and Propagation Society International Symposium, 2007

This work represents a numerical investigation into the improvement of artificial neural network detection of breast cancer using a planar broadband antenna and a three-region breast model. Modified Fourpoint antennas are used, which are capable of producing various wave polarizations. The effect of wave polarization on statistical detection will be investigated in this paper.


Extracardiac factors influencing left ventricular hypertrophy classification models

Computers in Cardiology 1994, 1994

Extracardiac factors are known to influence electrocardiographic (ECG) features used in left ventricular hypertrophy (LVH) classification criteria. It is generally assumed that ECG amplitudes decrease with age and obesity. The authors examined the association between anthropometric variables and the standard 12-lead resting ECG of white, black and Hispanic men and women and found that, contrary to the expectations, many ECG ...


Functional organization of eye-processor optical-electronic tomograph for breast tissue visualization

2010 International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET), 2010

We consider the principle of the optical-electronic polarization tomography with pulse-modulation exposure and eye-processor image reconstruction for breast tissue visualization.


Model based estimation of point correspondences between boundaries undergoing nonrigid motion [digital mammography application]

Proceedings of 3rd IEEE International Conference on Image Processing, 1996

Proposes a method for the estimation of point correspondences between boundaries undergoing nonrigid motion. The algorithm works in two stages. In the first stage, a global estimate of the nonrigid motion is obtained using hyperquadric models. The second stage uses this estimate to remove the global nonrigid motion (scale, shear, etc.) and then compute point correspondences between the two datasets ...


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Educational Resources on Breast tissue

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IEEE-USA E-Books

  • Digital mammographic image analysis and data compression

    This paper proposes a digital mammogram segmentation method for mammographic images, which is based on the gradient detection between breast tissue and non-tissue area. Detection of tissue edge in medical images is closely related to the correctness of image segmentation. In this paper, we focus on digital mammograms and develop an edge detection method to extract breast tissue against background with noise and/or random artifacts, as a preprocess of image compression. The results show that the developed method performs a precise recovery of boundary between breast tissue and non-tissue area, which is then removed for increasing compression rate. Therefore, problems of image transmission efficiency and data storage amount can be greatly improved. The compression rate is promoted from 3:1 to 5-6:1 by a nonlossy compression method.

  • Improvement of artificial neural network detection of breast cancer using broadband dual polarized antenna

    This work represents a numerical investigation into the improvement of artificial neural network detection of breast cancer using a planar broadband antenna and a three-region breast model. Modified Fourpoint antennas are used, which are capable of producing various wave polarizations. The effect of wave polarization on statistical detection will be investigated in this paper.

  • Extracardiac factors influencing left ventricular hypertrophy classification models

    Extracardiac factors are known to influence electrocardiographic (ECG) features used in left ventricular hypertrophy (LVH) classification criteria. It is generally assumed that ECG amplitudes decrease with age and obesity. The authors examined the association between anthropometric variables and the standard 12-lead resting ECG of white, black and Hispanic men and women and found that, contrary to the expectations, many ECG amplitudes such as RaVL+SV3 increased with increasing body mass index (BMI) and changed little with age. As expected, obesity was associated with leftward shift of QRS axis. However, the leftward shift of about 8 degrees per decade of age was equally pronounced in overweight and normal-weight women and men. The apparent strong influence of chest size and configuration on ECG amplitudes is largely due to variations in body weight and heart size. Smaller QRS amplitudes in left lateral chest leads in women appear partially to be associated with the attenuating effect of the breast tissue. It is concluded that chest size and configuration, and body weight have a strong influence on ECG amplitudes used in LVH criteria and that this influence differs from lead to lead and the interactions are complex. Extracardiac anthropometric factors, age, gender, and ethnic differences need to be properly considered in order to improve LVH criteria and ECG models for left ventricular mass estimation.<<ETX>>

  • Functional organization of eye-processor optical-electronic tomograph for breast tissue visualization

    We consider the principle of the optical-electronic polarization tomography with pulse-modulation exposure and eye-processor image reconstruction for breast tissue visualization.

  • Model based estimation of point correspondences between boundaries undergoing nonrigid motion [digital mammography application]

    Proposes a method for the estimation of point correspondences between boundaries undergoing nonrigid motion. The algorithm works in two stages. In the first stage, a global estimate of the nonrigid motion is obtained using hyperquadric models. The second stage uses this estimate to remove the global nonrigid motion (scale, shear, etc.) and then compute point correspondences between the two datasets assuming small deformations. The global part of the nonrigid motion (scale, shear, rotation and translation) is estimated by modeling the object with hyperquadrics and estimating the transformation between the hyperquadric parameters. Point correspondences are then estimated by using differential geometric properties during small deformations. Experimental results with real data are presented.

  • Age and sex dependent criteria for lower limits of QRS voltages

    The aim of this study was to examine whether criteria for low QRS voltage should be age and sex dependent. A database of 1496 normal ECGs from healthy adults was analysed using the University of Glasgow ECG analysis program. Correlation coefficients between peak- to-peak QRS voltages (ppQRS) and age were obtained. Differences in ppQRS due to sex were measured statistically. New thresholds were picked from the observations made and were tested on a second study population. The lower limits of ppQRS for males were significantly higher than for females in leads VI to V6 (p = 0.031, exact binomial test). Lowering the threshold for abnormality in these leads to 0.8mV for females resulted in an increase in specificity from 99.7% to 99.9%. There was evidence of correlation with age in males. In particular, the evidence supported using a different threshold for males under 40.

  • Support vector machine learning for detection of microcalcifications in mammograms

    Microcalcification (MC) clusters in mammograms can be an indicator of breast cancer. In this work we propose for the first time the use of support vector machine (SVM) learning for automated detection of MCs in digitized mammograms. In the proposed framework, MC detection is formulated as a supervised-learning problem and the method of SVM is employed to develop the detection algorithm. The proposed method is developed and evaluated using a database of 76 mammograms containing 1120 MCs. To evaluate detection performance, free- response receiver operating characteristic (FROC) curves are used. Experimental results demonstrate that, when compared to several other existing methods, the proposed SVM framework offers the best performance.

  • Detection of small tumors in the breast: combining tomography with digital subtraction

    Digital subtraction mammography is used to detect gross radiographic changes in breast tissue, but small tumors are missed. The inability to ensure exact positioning of the breast in the mamography machine every time, due to its loose and non-rigid nature causes a large amount of misregistration noise in the difference image. Since the size of the noise is comparable to the size of the tumor being detected, tumors seldom get detected before they metastasize. We propose a new technique based on submamograms. Submamograms are projection images of slabs of the breast which are computed from standard mammograms taken from a few different angles. Subtraction images derived from corresponding submamograms show more clearly those features in the breast that have undergone a change in the interval between examinations.

  • Breast Tissue Density and CAD Cancer Detection in Digital Mammography

    This study is part of the research of improving early detection of breast cancer in screening mammograms by focusing on computerized analysis and detection of cancers missed by radiologists. It is directed to the analysis of breast density in missed cancer cases and the effect of tissue density on cancer detection. A total of 100 missed cancer cases were collected which were used to generate three different datasets including mammograms with missed cancer, mammograms with screening-detected cancer and normal mammograms. A statistical-based method was applied to segment the breast density tissue. The percentage of the segmented density tissue area out of the whole breast area is calculated as the index of breast density. A set of tests was applied to examine (1) the differences in density between the mammograms at the detected stage and that at missed stage, (2) the density difference between the normal mammograms and the cancerous mammograms; (3) the effect of breast density on CAD cancer detection. The results demonstrate that (1) no significant difference in breast density between the detected and missed stages; (2) the density of cancerous mammograms is significantly higher than normal mammograms; (3) similar to mammogram screening by radiologists, the lesions occurred in dense breasts are more likely to be missed in CAD detection especially at their early stage

  • Extraction of Calibration Waveform for Confocal Microwave Imaging for Early Breast Cancer Detection

    Microwave imaging is a promising method for the early-stage breast cancer detection based on the large contrast of electric parameters between the tumor and the normal breast tissue. The tumor information can be obtained by comparing the ultra wideband signals propagating in the tumor-contained breast and tumor-free breast which used as the calibration waveform. In this study, a method of extracting calibration waveform during detection is proposed, in which the tumor is arranged randomly located in the breast tissue. The feasibility of this method in the actual detection is explained. The correct tumor information in the reconstructed breast image is achieved by using the extracted calibration waveform.



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