Medical diagnosis

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Medical diagnosis refers to the process of attempting to determine and/or identify a possible disease or disorder and the opinion reached by this process. (Wikipedia.org)






Conferences related to Medical diagnosis

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2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

FUZZ-IEEE 2021 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy sets, fuzzy logic and associated approaches (e.g. aggregation operators such as the Fuzzy Integral), as well as their hybridizations with other artificial and computational intelligence techniques.


2020 IEEE 16th International Workshop on Advanced Motion Control (AMC)

AMC2020 is the 16th in a series of biennial international workshops on Advanced Motion Control which aims to bring together researchers from both academia and industry and to promote omnipresent motion control technologies and applications.


2020 IEEE 23rd International Conference on Information Fusion (FUSION)

The International Conference on Information Fusion is the premier forum for interchange of the latest research in data and information fusion, and its impacts on our society. The conference brings together researchers and practitioners from academia and industry to report on the latest scientific and technical advances.


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


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


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Periodicals related to Medical diagnosis

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Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


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 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.


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Xplore Articles related to Medical diagnosis

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IEE Colloquium on 'Problems in Human Vision: How Can Technology Help?' (Digest No.99)

IEE Colloquium on Problems in Human Vision: How Can Technology Help?, 1989

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Computing for artificial intelligence

1985 IEEE International Solid-State Circuits Conference. Digest of Technical Papers, 1985

VLSI technology is making possible the rapid development of computers that are tailored to artificial intelligence applications, which require fast sorting and searching through large databases. New computer architectures are sought because traditional computers are too slow at performing these tasks. Special features of the upgraded computers are the hardware implementation of parallel processing and the support of data types.


IEE Colloquium on 'The Application of Artificial Intelligence Techniques to Signal Processing' (Digest No.42)

IEE Colloquium on Application of Artificial Intelligence Techniques to Signal Processing, 1989

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IEE Colloquium on 'Biomagnetic Methods in Medicine' (Digest No.016)

IEE Colloquium on Biomagnetic Methods in Medicine, 1993

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Model Construction of Nonrigid Biological Objects from Images

Sixth Mexican International Conference on Computer Science (ENC'05), 2005

Being able to accurately model the deformation of biological objects is vital to the success of many multidisciplinary studies such as computer-aided surgery simulation and planning, image-based medical diagnosis, and motion- based human identification etc. Among various modeling techniques, physical model becomes increasingly popular because the physical and mathematical rigors upon which the model is established can ensure physically sound ...


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Educational Resources on Medical diagnosis

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IEEE-USA E-Books

  • IEE Colloquium on 'Problems in Human Vision: How Can Technology Help?' (Digest No.99)

    None

  • Computing for artificial intelligence

    VLSI technology is making possible the rapid development of computers that are tailored to artificial intelligence applications, which require fast sorting and searching through large databases. New computer architectures are sought because traditional computers are too slow at performing these tasks. Special features of the upgraded computers are the hardware implementation of parallel processing and the support of data types.

  • IEE Colloquium on 'The Application of Artificial Intelligence Techniques to Signal Processing' (Digest No.42)

    None

  • IEE Colloquium on 'Biomagnetic Methods in Medicine' (Digest No.016)

    None

  • Model Construction of Nonrigid Biological Objects from Images

    Being able to accurately model the deformation of biological objects is vital to the success of many multidisciplinary studies such as computer-aided surgery simulation and planning, image-based medical diagnosis, and motion- based human identification etc. Among various modeling techniques, physical model becomes increasingly popular because the physical and mathematical rigors upon which the model is established can ensure physically sound motion predictions. It has been widely recognized that material properties assigned to the physical model could have a significant impact on its prediction accuracy. In this talk we will explore a number of applications of such modeling for burn scar evaluation and breast cancer detection to facial expression analysis and biometrics.

  • Fuzzy clustering with a fuzzy covariance matrix

    A class of fuzzy ISODATA clustering algorithms has been developed previously which includes fuzzy means. This class of algorithms is generalized to include fuzzy covariances. The resulting algorithm closely resembles maximum likelihood estimation of mixture densities. It is argued that use of fuzzy covariances is a natural approach to fuzzy clustering. Experimental results are presented which indicate that more accurate clustering may be obtained by using fuzzy covariances.

  • A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers

    We present a small sphere and large margin approach for novelty detection problems, where the majority of training data are normal examples. In addition, the training data also contain a small number of abnormal examples or outliers. The basic idea is to construct a hypersphere that contains most of the normal examples, such that the volume of this sphere is as small as possible, while at the same time the margin between the surface of this sphere and the outlier training data is as large as possible. This can result in a closed and tight boundary around the normal data. To build such a sphere, we only need to solve a convex optimization problem that can be efficiently solved with the existing software packages for training nu-support vector machines. Experimental results are provided to validate the effectiveness of the proposed algorithm.

  • Electrical Properties of an Individual Chicken Infectious Laryngotracheitis Virus

    Over the past few years, virus detection techniques have become increasingly important because of the frequent occurrence of new pathogenic virus strains. At present, there are two well-established diagnostic techniques for viruses: immunoassay and DNA-/RNA-based methods. Immunoassay, considered the gold standard, uses either direct immunofluorescent assay or membrane enzyme-linked immunosorbent assay to first isolate the virus and then characterize it using serological or other molecular biological tools. Typical drawbacks for immunoassay include poor specificity and low sensitivity. By comparison, DNA -/RNA-based methods such as reverse transcription-polymerase chain reaction assays are much more specific and sensitive. These methods, however, are typically very time consuming since the protocol requires a series of DNA/RNA isolation, concentration, and gel electrophoresis.

  • Computer Aided Medical Diagnosis for the Identification of Malaria Parasites

    This paper presents one of the applications of digital image processing in artificial intelligence particularly in the field of medical diagnosis system. Currently in Malaysia the traditional method for the identification of Malaria parasites requires a trained technologist to manually examine and detect the number of the parasites subsequently by reading the slides. This is a very time consuming process, causes operator fatigue and is prone to human errors and inconsistency. An automated system is therefore needed to complete as much work as possible for the identification of Malaria parasites. The integration both soft computing tools has been successfully designed with the capability to improve the quality of the image, analyze and classify the image as well as calculating the number of Malaria parasites

  • Processing and classification of deformed speech using neural networks

    In many problems of medical diagnosis as well as therapy and rehabilitation, evaluation of the deformed speech signal quality is required. In problems of distorted speech diagnosis the regular methods of speech signal preprocessing and classification, used in speech or voice recognition, totally fail. Also the standard speech signal parametrization techniques (e.g. LPC or cepstral coefficients) cannot satisfactorily describe pathological speech because of its dissimilar phonetic and acoustic structure compared with correct speech, and also because the aim of the recognition process is totally different. In the paper a new method for processing and classification of pathologically deformed speech, based on neural networks techniques, is presented and discussed.



Standards related to Medical diagnosis

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IEEE Standard for Testability and Diagnosability Characteristics and Metrics

This standard defines technology independent testability and diagnosability characteristics and metrics, particularly those based on relevant standard information models including standard AI-ESTATE (IEEE 1232.1 and P1232.3) information models.


Standard for Software Interface for Maintenance Information Collection and Analysis

The scope of the Standard Software Interface for Maintenance Information Collection and Analysis (SIMICA) is an implementation independent specification for a software interface to information systems containing data pertinent to the diagnosis and maintenance of complex systems consisting of hardware, software, or any combination thereof. These interfaces will support service definitions for creating application programming interfaces (API) for the access, ...



Jobs related to Medical diagnosis

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