Conferences related to Cancer detection

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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 Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


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Periodicals related to Cancer detection

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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.


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


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.


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


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Most published Xplore authors for Cancer detection

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Xplore Articles related to Cancer detection

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Classification Bias of the k-Nearest Neighbor Algorithm

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1984

The k-nearest neighbor classifier has been used extensively in pattern analysis applications. This classifier can, however, have substantial bias when there is little class separation and the sample sizes are unequal. This classification bias is examined for the two-class situation and formulas presented that allows selection of values of k that yields minimum bias.


Design of a UWB 6-port reflectometer formed by microstrip-slot couplers for use in a microwave breast cancer detection system

2007 IEEE Antennas and Propagation Society International Symposium, 2007

The design of an ultra wideband (UWB) reflectometer for use in a microwave breast cancer detection system is presented. The design is based on a six-port technique. The reflectometer is constructed using an assembly of compact UWB microstrip-slot couplers. Its analysis and performance assessment are accomplished using commercially available circuit and EM field simulation tools.


Not your mother's mammography [breast cancer detection]

IEEE Spectrum, 2002

Breast cancer accounts for nearly one of every three cancers diagnosed in US women. While great strides have been made in early detection, the conventional method of mammography is not failproof it has trouble imaging dense tissue, it may show suspicious areas where no malignancy exists, and radiologists interpreting the images can miss up to 15 percent of cancers. It's ...


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.


Autofluorescence lifetime measurement on oral carcinogenesis

The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2004

Normal and cancerous tissues have distinct autofluorescence lifetime because of their biophysical and biochemical differences. Protoporphyrin IX (PplX) is a useful fluorophore, which generally accumulates more in cancerous cells than in normal cells due to heme synthesis pathway, is often employed in photodynamic detection and therapy. Under 410nm excitation, the main emission peak of PplX is at 630nm. Autofluorescence lifetime ...


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Educational Resources on Cancer detection

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IEEE-USA E-Books

  • Classification Bias of the k-Nearest Neighbor Algorithm

    The k-nearest neighbor classifier has been used extensively in pattern analysis applications. This classifier can, however, have substantial bias when there is little class separation and the sample sizes are unequal. This classification bias is examined for the two-class situation and formulas presented that allows selection of values of k that yields minimum bias.

  • Design of a UWB 6-port reflectometer formed by microstrip-slot couplers for use in a microwave breast cancer detection system

    The design of an ultra wideband (UWB) reflectometer for use in a microwave breast cancer detection system is presented. The design is based on a six-port technique. The reflectometer is constructed using an assembly of compact UWB microstrip-slot couplers. Its analysis and performance assessment are accomplished using commercially available circuit and EM field simulation tools.

  • Not your mother's mammography [breast cancer detection]

    Breast cancer accounts for nearly one of every three cancers diagnosed in US women. While great strides have been made in early detection, the conventional method of mammography is not failproof it has trouble imaging dense tissue, it may show suspicious areas where no malignancy exists, and radiologists interpreting the images can miss up to 15 percent of cancers. It's also uncomfortable, requiring each breast to be compressed between plastic plates, which can lead to bruising. Susan Hagness wants to change all that. An assistant professor of electrical engineering at the University of Wisconsin- Madison, she is pioneering a novel detection technique that uses ultrawideband microwaves to image even the tiniest malignant tumors in the breast. Breast tumors and normal tissue show much more contrast at microwave frequencies than at the X-ray frequencies used for mammograms. Microwaves are also nonionizing, and the technique requires no breast compression. In Susan Hagness' search for a better way to detect breast cancer, she gets her students involved, too. Such efforts have paid off: her courses consistently receive high marks on student evaluations.

  • 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.

  • Autofluorescence lifetime measurement on oral carcinogenesis

    Normal and cancerous tissues have distinct autofluorescence lifetime because of their biophysical and biochemical differences. Protoporphyrin IX (PplX) is a useful fluorophore, which generally accumulates more in cancerous cells than in normal cells due to heme synthesis pathway, is often employed in photodynamic detection and therapy. Under 410nm excitation, the main emission peak of PplX is at 630nm. Autofluorescence lifetime at 630nm emission would be elongated if PplX gathered more in cells. In this study, we tried to find if there exist significant differences of autofluorescence lifetime at 630nm (under 410nm excitation) between normal and cancerous tissues for in vivo measurement. The result shows that normal tissues in general have shorter lifetime (about 2.8/spl sim/3.5 ns) than that of abnormal tissues. The measured data suggest that lifetime would get longer in accordance with the degree of carcinogenesis. For cancer tissues, the average autofluorescence lifetime was extended to be about 10ns. Furthermore, the efficiency of treatment could also be defined refer to the time-series of lifetime decline.

  • Quantitative characterization and neural network-based evaluation of colonoscopic images

    Extracting features from the colonoscopic images is essential for getting the quantitative parameters, which characterizes the properties of the colon. The features are employed in the computer-assisted diagnosis of colonoscopic images to assist the physician in detecting the colon status. Present methods mostly use manual approaches. A novel scheme is developed to extract new texture-based quantitative features from the texture spectra in the chromatic and achromatic domains of colonoscopic images. The texture spectra are obtained from the texture unit numbers, which contain local and global texture information of the image. These features are evaluated using supervisory Backpropagation Neural Network (BPNN) with various training algorithms, viz., resilient propagation (RPROP), scaled conjugate gradient (SCG), and Marquardt algorithms. The evaluation is based on training time, training epoch, and accuracy on classifying the colon status. The preliminary results obtained by the proposed approach support the feasibility of the technique.

  • A method for detecting suspicious regions in mammograms based on multiscale image filtering and regression-line analysis

    Early detection of breast cancer is an important task for preventing the loss of lives/breasts of the women. In this paper we propose a method for detecting suspicious features of breast cancers on mammograms by the combination of multiscale image filtering and regression-line analysis. Images are represented and analyzed at different scales. Calcifications are detected on the finest resolution, masses and mammary glands are detected on a more abstracted plane. After detecting mammary glands, we apply linear regression to the parts of mammary ducts, and estimates the degree of concentration by the measure of average minimal distance to the concentration point. Experimental results on the DDSM mammography images demonstrate that these approaches could contribute to the successful detection of these features.

  • Dynamic contrast-enhanced imaging of the breast with magnetic resonance

    A magnetic resonance imaging method is described which determines the concentration of an intravenous blood marker (Gd-DTPA) in both stationary and flowing solutions. The results indicate that the method should provide accurate (<14%) and rapid (<5 sec) measures of Gd-DTPA concentration in vivo. This method should be useful for improving discrimination between malignant and benign breast lesions and may allow extraction of physiological parameters (e.g., tissue cell fraction and extraction-flow product).

  • Computerized thermal breast imaging revisited: an adjunctive tool to mammography

    Physical examination and mammography are the primary methods for the detection of breast cancer, but lead to a high rate of benign biopsies. A digital thermal imaging system was developed as an adjunct to mammography to aid in the differentiation of benign from malignant lesions. Patients scheduled for biopsy were enrolled after informed consent. Prior to biopsy, digital thermal images were acquired of each breast during a 3.5 minute procedure. A probability of malignancy was assigned to each pixel, based on comparative statistical analysis of the thermal response features from the test subjects with data derived from lesions of known pathology. One hundred and seventeen female patients (125 suspicious lesions) were included, with a 24% true malignancy rate. Receiver Operating Characteristics (ROC) curves (Sensitivity vs. 1-Specificity) were generated based on various features of the cooling model. Based on the ROC curve analysis, 36/95 benign biopsies (38%) could have been avoided using this technology, while maintaining a sensitivity of 96%. Digital thermal imaging appears to be a valuable adjunct to mammography in the management of breast lesions, potentially decreasing the number of benign biopsies. Multi-institutional FDA clinical trials are currently underway.

  • Specular Reflection Detection on Gastroscopic Images

    Gastroscope is important in gastric cancer diagnosis. However, the specular reflection is common existed in the gastroscope images and it's easily confused with ulcer. In this paper we develop a method for detecting specular reflection in gastroscopic images. First the Intensity-Saturation joint distribution of region of interest (ROI) is obtained in HSI color space. Then based on the analysis of the Intensity-Saturation (IS) histogram, several templates of different shapes are tested. After the candidate templates are compared on true positive and false positive curves from the comparison tests, triangle template is proved more suitable for recognizing pixels of specular reflection from the others in IS histogram. The experiment results from 64 gastroscopic images show that the classifier gets a true positive rate (TPR) at 71.9%, false positive rate (FPR) at 0.75% and area under the ROC (AUC) at 0.869. There is no confusion with ulcer. It is robust in size of regions and capable of expanding to other endoscopes.



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