Conferences related to Tumors

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2020 IEEE International Power Modulator and High Voltage Conference (IPMHVC)

This conference provides an exchange of technical topics in the fields of Solid State Modulators and Switches, Breakdown and Insulation, Compact Pulsed Power Systems, High Voltage Design, High Power Microwaves, Biological Applications, Analytical Methods and Modeling, and Accelerators.


2019 20th International Conference on Solid-State Sensors, Actuators and Microsystems & Eurosensors XXXIII (TRANSDUCERS & EUROSENSORS XXXIII)

The world's premiere conference in MEMS sensors, actuators and integrated micro and nano systems welcomes you to attend this four-day event showcasing major technological, scientific and commercial breakthroughs in mechanical, optical, chemical and biological devices and systems using micro and nanotechnology.The major areas of activity in the development of Transducers solicited and expected at this conference include but are not limited to: Bio, Medical, Chemical, and Micro Total Analysis Systems Fabrication and Packaging Mechanical and Physical Sensors Materials and Characterization Design, Simulation and Theory Actuators Optical MEMS RF MEMS Nanotechnology Energy and Power


2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

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


2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)

Science, technology and applications spanning the millimeter-waves, terahertz and infrared spectral regions


2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)

The conference is the primary forum for cross-industry and multidisciplinary research in automation. Its goal is to provide a broad coverage and dissemination of foundational research in automation among researchers, academics, and practitioners.


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Periodicals related to Tumors

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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.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


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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Xplore Articles related to Tumors

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Evaluation of surface roughness of tumor using neural network

[{u'author_order': 1, u'affiliation': u'Dept. of Electr. Eng., Shonan Inst. of Technol., Fujisawa, Japan', u'authorUrl': u'https://ieeexplore.ieee.org/author/37361495400', u'full_name': u'I. Akiyama', u'id': 37361495400}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/37365210400', u'full_name': u'S. Ogawa', u'id': 37365210400}, {u'author_order': 3, u'authorUrl': u'https://ieeexplore.ieee.org/author/37372846200', u'full_name': u'K. Omoto', u'id': 37372846200}, {u'author_order': 4, u'authorUrl': u'https://ieeexplore.ieee.org/author/37365979400', u'full_name': u'K. Itoh', u'id': 37365979400}] Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N, 1999

Since surface roughness of a malignant tumor is more remarkable than that of a benign tumor, it is possible to classify pathological states of the tumor by computing the degree of surface roughness. We have proposed a method for the segmentation of the tumor in ultrasonic echography and confirmed the feasibility of the technique. This paper describes a neural network ...


Shape based classification of breast tumors using fractal analysis

[{u'author_order': 1, u'affiliation': u'Department of Electronics Engineering, Aligarh Muslim University, India', u'authorUrl': u'https://ieeexplore.ieee.org/author/38235035600', u'full_name': u'M. Syed Abdaheer', u'id': 38235035600}, {u'author_order': 2, u'affiliation': u'Department of Electronics Engineering, Aligarh Muslim University, India', u'authorUrl': u'https://ieeexplore.ieee.org/author/37269049600', u'full_name': u'Ekram Khan', u'id': 37269049600}] 2009 International Multimedia, Signal Processing and Communication Technologies, 2009

In this paper we adopt FFT based fractal analysis method. With the help FFT based method breast tumors (benign and malignant) are classified based on their shapes. In general malignant tumors contour have rough and irregular shapes whereas benign contour have smooth and macrolobulated shapes. In this paper we present a fractal based Fourier transform method to classify the contours. ...


Shape and Boundary Analysis for Classification of Breast Masses

[{u'author_order': 1, u'authorUrl': u'https://ieeexplore.ieee.org/author/37654488500', u'full_name': u'Zhou Weiqiang', u'id': 37654488500}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/37543119500', u'full_name': u'Xu Xiangmin', u'id': 37543119500}, {u'author_order': 3, u'authorUrl': u'https://ieeexplore.ieee.org/author/37657487700', u'full_name': u'Huang Wei', u'id': 37657487700}] 2008 International Symposium on Computational Intelligence and Design, 2008

Malignant breast tumors appear spiculate or microlobulate in the boundary and irregular in shape. But benign breast masses appear smooth in the boundary and round in shape. We used polygonal modeling to draw Index of spiculation(SI), index of lobule(IF), measure of fractal dimension (FD) and measure of circularity (C) to represent the characteristic of the boundary and the shape of ...


Spiculation-preserving Polygonal Modeling of Contours of Breast Tumors

[{u'author_order': 1, u'affiliation': u'Faculty of Computation, Federal University of Uberl\xe2ndia, Uberl\xe2ndia, MG, Brazil. guliato@ufu.br', u'authorUrl': u'https://ieeexplore.ieee.org/author/37373251900', u'full_name': u'Denise Guliato', u'id': 37373251900}, {u'author_order': 2, u'affiliation': u'Department of Electrical and Computer Engineering, Schulich School of Engineering, Department of Radiology, University of Calgary, Calgary, AB, Canada T2N 1N4. ranga@ucalgary.ca', u'authorUrl': u'https://ieeexplore.ieee.org/author/37265585000', u'full_name': u'Rangaraj M. Rangayyan', u'id': 37265585000}, {u'author_order': 3, u'affiliation': u'Faculty of Computation, Federal University of Uberl\xe2ndia, Uberl\xe2ndia, MG, Brazil', u'authorUrl': u'https://ieeexplore.ieee.org/author/37685615200', u'full_name': u'Juliano Daloia de Carvalho', u'id': 37685615200}, {u'author_order': 4, u'affiliation': u'Faculty of Computation, Federal University of Uberl\xe2ndia, Uberl\xe2ndia, MG, Brazil', u'authorUrl': u'https://ieeexplore.ieee.org/author/37698814200', u'full_name': u'Sergio Anchieta Santiago', u'id': 37698814200}] 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Malignant breast tumors typically appear in mammograms with rough, spiculated, or microlobulated contours, whereas most benign masses have smooth, round, oval, or macrolobulated contours. Several studies have shown that shape factors that incorporate differences as above can provide high accuracies in distinguishing between malignant tumors and benign masses based upon their contours only. However, global measures of roughness, such as ...


Mammogram tumor classification using multimodal features and Genetic Algorithm

[{u'author_order': 1, u'affiliation': u'Centre for Advanced Research, Department of Electronics and Communication Engineering, Muthyammal Engineering College, Rasipuram 637 408 Tamil Nadu, India', u'authorUrl': u'https://ieeexplore.ieee.org/author/37546558100', u'full_name': u'M. Suganthi', u'id': 37546558100}, {u'author_order': 2, u'affiliation': u'Centre for Advanced Research, Department of Electronics and Communication Engineering, Muthyammal Engineering College, Rasipuram 637 408 Tamil Nadu, India', u'authorUrl': u'https://ieeexplore.ieee.org/author/37298039400', u'full_name': u'M. Madheswaran', u'id': 37298039400}] 2009 International Conference on Control, Automation, Communication and Energy Conservation, 2009

This paper proposes a computer aided decision support system for an automated diagnosis and classification of breast tumor using mammogram. The proposed method differentiates two breast diseases namely benign masses and malignant tumors. From the preprocessed mammogram image, texture and shape features are extracted. The optimal features can be extracted by using a feature selection scheme based on the multi ...


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Educational Resources on Tumors

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eLearning

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IEEE-USA E-Books

  • Apoptotic Computing: Programmed Death by Default for Software Technologies

    “Scientists fear a revolt by killer robots” was a headline in the UK's Sunday Times[1] reporting on scientists who presented their findings at the International Joint Conference for Artificial Intelligence in Pasadena, California, in July 2009, feared that nightmare scenarios, which have until now been limited to science fiction films, such as the Terminator series, The Matrix, 2001: A Space Odyssey and Minority Report, could come true. They warned that mankind might lose control over computer‐based systems that carry out a growing share of society's workload, from waging war to chatting on the phone, and have already reached a level of indestructibility comparable with a cockroach. For instance, robotic unmanned predator drones, which can seek out and kill human targets, have already moved out of the movie theatres and into the theatre of war in Afghanistan and Iraq. While at present controlled by human operators, they are moving towards more autonomous control. They may also soon be found on the streets. Samsung, the South Korean electronics company, has developed autonomous sentry robots to serve as armed border guards. They have “shoot‐to‐kill” capability[1]. Popular fears of such a situation have only been more prolific since this news coverage.The Apoptotic Computing project, first started back in 2002[3][4][5][6][2] involves working towards the long‐term goal of developing Programmed Death by Default for Computer‐Based Systems to provide for this foreseen future. It is essentially biologically‐inspired by the Apoptosis mechanisms in multicellular organisms. It may be considered as a sub‐area of Bio‐Inspired Computing, Natural Computing or Autonomic Systems (providing the self‐destruct property).In this chapter we focus on two areas we have applied Apoptotic Computing to; Autonomic Agent Based Environments and SWARM Space Exploration Systems.

  • Antennas for Medical Therapy and Diagnostics

    This chapter contains sections titled:IntroductionAntennas for Therapeutic ApplicationsAntennas for Sensing and Diagnostic ImagingReferences

  • Antenna Issues in Microwave Thermal Therapies

    This chapter contains sections titled:Microwave Thermal TherapiesInterstitial Microwave HyperthermiaClinical TrialsOther ApplicationsSummaryReferences

  • Vascularization of Artificial Tissue

    We introduce the concept of vascularization as it applies to the tissue and organ fabrication process. We describe molecular mechanisms of several vascularization process, including vasculogenesis, angiogenesis, and arteriogenesis and discuss the application of these process to the tissue fabrication process. We provide a framework for vascularization of 3D artificial tissue and organs, including biologically replicated, biologically inspired, and biologically replicated models.



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