Medical diagnosis

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 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 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.



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.



Most published Xplore authors for Medical diagnosis

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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

None


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

None


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

IEE Colloquium on Biomagnetic Methods in Medicine, 1993

None


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 ...



Educational Resources on Medical diagnosis

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IEEE.tv Videos

Learning Method of the SIC Fuzzy Inference Model - Genki Ohashi - ICRC San Mateo, 2019
Engineering in Medicine and Biology: Segment 3
Jay Sanders AMA EMBS Individualized Healthcare
VisualDx Augmented Intelligence Project - Arthur Papier - IEEE EMBS at NIH, 2019
Machine Ethics - Proceedings of the IEEE Webinar
Implantable Wireless Medical Devices and Systems
How Facial Analysis Technology Can Help Children with Genetic Disorders - IEEE Region 4 Technical Presentation
Yulun Wang accepts the IEEE Medal for Innovations in Healthcare Technology - Honors Ceremony 2017
Thoughts on “POC” in the Digital Era - Keynote Robert Califf - IEEE EMBS at NIH, 2019
Fireside Chat: Key Opinion Leaders on Pre-Symptomatic Illness Detection - IEEE EMBS at NIH, 2019
Fuzzy and Soft Methods for Multi-Criteria Decision Making - Ronald R Yager - WCCI 2016
Yulun Wang, 2017 IEEE Medal for Innovations in Healthcare Technology at VIC Summit-Part 2 of 2
Yulun Wang, 2017 IEEE Medal for Innovations in Healthcare Technology at VIC Summit-1 of 2
Surgical Robotics: Medical robotics and computer-integrated interventional medicine
Utilizing Wireless Power and Communication in Medical Systems
Multiple Sensor Fault Detection and Isolation in Complex Distributed Dynamical Systems
Photo Verification Technology for Radiology Images - Srini Tridandapani - IEEE EMBS at NIH, 2019
ASC-2014 SQUIDs 50th Anniversary: 4 of 6 - Keiji Enpuku
IEEE Life Sciences: Wearable Medical Devices Advancing bioengineering
Communicating Science Visually

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, ...