Cervical cancer

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Cervical cancer is malignant neoplasm of the cervix uteri or cervical area. (Wikipedia.org)






Conferences related to Cervical cancer

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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 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)

AQTR 2018 is intended to be an international forum for researchers in the field of automation, quality, testing and robotics. It will bring together equipment manufacturers, software developers and end-users to discuss the current trends and future directions of control and testing technologies and their industrial and social applications in the private and the public sectors. Active participation of students and graduate students is strongly encouraged.


2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)

Computational analysis and interpretation of images and video


2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)

IECBES is a series of bi-annual conference since 2010. The conference will provide excellent platform for knowledge exchange between researchers, scientists, academicians and engineers working in the areas of biomedical engineering. It is open for local and international participants.

  • 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)

    IECBES is the flagship conference of EMB Malaysia Chapter. Its scope includes new findings in research areas of Biomedical Engineering with keywords indicated above.

  • 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES)

    Biomedical Signal and Image Processing:Cardiovascular, Respiratory, Neural, Biomedical Instrumentation & Devices: Sensor, Micro / Nano / Wearable Technology,Biomaterial, Biomimetics, Rehabilitation andTherapeutic Health System, Biomedical Modeling and Simulation, Bioinformatics, Biomechanics and medical robotics, Ergonomics & Human Factors,Healthcare Information System, Telemedicine, eHealth, myHealth.

  • 2012 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES 2012)

    Biomedical Signal and Image Processing:Cardiovascular, Respiratory, Neural, Biomedical Instrumentation & Devices: Sensor, Micro / Nano / Wearable Technology,Biomaterial, Biomimetics, Rehabilitation and Therapeutic Health System, Biomedical Modeling and Simulation, Bioinformatics, Biomechanics and medical robotics, Ergonomics & Human Factors,Healthcare Information System, Telemedicine, eHealth, myHealth.

  • 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)

    Biomedical Signal and Image Processing: Cardiovascular, Respiratory, Neural Biomedical Instrumentation & Devices: Sensor, micro/ nano/wearable technology, biomaterial, biomimetic Rehabilitation and Therapeutic Health System Biomedical Modelling and Simulation Bioinformatics Biomechanics and medical robotics Healthcare Information System: Telemedicine, eHealth, mHealth


2017 13th IEEE Conference on Automation Science and Engineering (CASE 2017)

This is the flagship conference of IEEE RAS in Automation


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Periodicals related to Cervical cancer

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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; ...


Information Technology in Biomedicine, IEEE Transactions on

Telemedicine, teleradiology, telepathology, telemonitoring, telediagnostics, 3D animations in health care, health information networks, clinical information systems, virtual reality applications in medicine, broadband technologies, and global information infrastructure design for health care.


Instrumentation and Measurement, IEEE Transactions on

Measurements and instrumentation utilizing electrical and electronic techniques.


Magnetics, IEEE Transactions on

Science and technology related to the basic physics and engineering of magnetism, magnetic materials, applied magnetics, magnetic devices, and magnetic data storage. The Transactions publishes scholarly articles of archival value as well as tutorial expositions and critical reviews of classical subjects and topics of current interest.


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Xplore Articles related to Cervical cancer

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Image segmentation of uterine cervix images for indexing in PACS

S. Gordon; G. Zimmerman; H. Greenspan Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems, 2004

The National Cancer Institute has collected a large database of digitized 35 mm slides of the uterine cervix, the idea being to build a system enabling to study the evolution of lesions related to cervical cancer. In taking the first few steps towards this goal, the objective of this work is to develop and evaluate methodologies required for visual-based (i.e. ...


An automated, segmentation-based, rigid registration system for Cervigram™ images utilizing simple clustering and active contour techniques

P. King; S. Mitra; B. Nutter Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems, 2004

In this article, a technique for the automated registration of Cervigram™ images will be introduced. The motivation for the development of such a technique is warranted by the fact that registration is often a first step to other, more sophisticated, algorithms useful in medical applications. Such algorithms are typically processes developed for the tracking and monitoring of patient health. The ...


Recursive-mode K-means clustering for self-organization of Dynamic Imaging data

Ioanna Vourlaki; George Livanos; Theodoros Giakoumakis; Michalis Zervakis; George Giakos; Costas Balas 2016 IEEE International Conference on Imaging Systems and Techniques (IST), 2016

The aim of this study was to develop a novel algorithmic scheme for self- organizing data, adopting an recursive-mode k-means clustering approach. The proposed methodology attempts to refine and improve the clustering result by sequentially updating centers on the basis of their present and previous positions, exploiting both prior expert knowledge and posterior data information from the statistical distribution of ...


Learning multispectral texture features for cervical cancer detection

Yanxi Liu; Tong Zhao; Jiayong Zhang Proceedings IEEE International Symposium on Biomedical Imaging, 2002

We present a bottom-up approach for automatic cancer cell detection in multispectral microscopic thin Pap smear images. Around 4,000 multispectral texture features are explored for cancer cell detection. Using two feature screening measures, the initial feature set is effectively reduced to a computationally manageable size. Based on pixel-level screening results, cancerous regions can thus be detected through a relatively simple ...


Segmentation of Squamous Epithelium from Ultra-large Cervical Histological Virtual Slides

Yinhai Wang; Danny Crookes; Jim Diamond; Peter Hamilton; Richard Turner 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007

Cervical virtual slides are ultra-large, can have size up to 120 K times 80 K pixels. This paper introduces an image segmentation method for the automated identification of Squamous epithelium from such virtual slides. In order to produce the best segmentation results, in addition to saving processing time and memory, a multiresolution segmentation strategy was developed. The Squamous epithelium layer ...


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Educational Resources on Cervical cancer

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eLearning

Image segmentation of uterine cervix images for indexing in PACS

S. Gordon; G. Zimmerman; H. Greenspan Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems, 2004

The National Cancer Institute has collected a large database of digitized 35 mm slides of the uterine cervix, the idea being to build a system enabling to study the evolution of lesions related to cervical cancer. In taking the first few steps towards this goal, the objective of this work is to develop and evaluate methodologies required for visual-based (i.e. ...


An automated, segmentation-based, rigid registration system for Cervigram™ images utilizing simple clustering and active contour techniques

P. King; S. Mitra; B. Nutter Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems, 2004

In this article, a technique for the automated registration of Cervigram™ images will be introduced. The motivation for the development of such a technique is warranted by the fact that registration is often a first step to other, more sophisticated, algorithms useful in medical applications. Such algorithms are typically processes developed for the tracking and monitoring of patient health. The ...


Recursive-mode K-means clustering for self-organization of Dynamic Imaging data

Ioanna Vourlaki; George Livanos; Theodoros Giakoumakis; Michalis Zervakis; George Giakos; Costas Balas 2016 IEEE International Conference on Imaging Systems and Techniques (IST), 2016

The aim of this study was to develop a novel algorithmic scheme for self- organizing data, adopting an recursive-mode k-means clustering approach. The proposed methodology attempts to refine and improve the clustering result by sequentially updating centers on the basis of their present and previous positions, exploiting both prior expert knowledge and posterior data information from the statistical distribution of ...


Learning multispectral texture features for cervical cancer detection

Yanxi Liu; Tong Zhao; Jiayong Zhang Proceedings IEEE International Symposium on Biomedical Imaging, 2002

We present a bottom-up approach for automatic cancer cell detection in multispectral microscopic thin Pap smear images. Around 4,000 multispectral texture features are explored for cancer cell detection. Using two feature screening measures, the initial feature set is effectively reduced to a computationally manageable size. Based on pixel-level screening results, cancerous regions can thus be detected through a relatively simple ...


Segmentation of Squamous Epithelium from Ultra-large Cervical Histological Virtual Slides

Yinhai Wang; Danny Crookes; Jim Diamond; Peter Hamilton; Richard Turner 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007

Cervical virtual slides are ultra-large, can have size up to 120 K times 80 K pixels. This paper introduces an image segmentation method for the automated identification of Squamous epithelium from such virtual slides. In order to produce the best segmentation results, in addition to saving processing time and memory, a multiresolution segmentation strategy was developed. The Squamous epithelium layer ...


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IEEE-USA E-Books

  • Improved Screening for Cervical Cancer

    This chapter contains sections titled: * Physiology * Pap Smear * Problem Significance * Semiautomation of Cervical Cancer Screening * Cervical Cancer Screening Using Neural Networks * Summary * References * Cardiac Output Exercises



Standards related to Cervical cancer

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