Conferences related to Skin neoplasms

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (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 full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


2021 IEEE Pulsed Power Conference (PPC)

The Pulsed Power Conference is held on a biannual basis and serves as the principal forum forthe exchange of information on pulsed power technology and engineering.


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 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 IEEE International Conference on Plasma Science (ICOPS)

IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.


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Periodicals related to Skin neoplasms

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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.


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


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 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 Skin neoplasms

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Artificial intelligence applied to detection of melanoma

Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ, 1993

None


Irregularity and Asymmetry Analysis of Skin Lesions Based on Multi-Scale Local Fractal Distributions

2009 2nd International Congress on Image and Signal Processing, 2009

To tackle the problems of detecting structural irregularity and asymmetry of skin lesion boundaries in the early CAD diagnosis of melanomas, a multiscaled local fractal algorithm is proposed in the paper where sequent removing textural irregularity from skin lesion boundaries is performed and features of boundary irregularity under multiscale are extracted. Meanwhile, a novel method of structural irregularity measurements, as ...


Fluorescence lifetime imaging: an application to the detection of skin tumors

IEEE Journal of Selected Topics in Quantum Electronics, 1999

A portable system based on fluorescence lifetime imaging has been developed and tested for the detection of skin tumors in humans. The Heme precursor /spl delta/-aminolevulinic acid, which promotes the preferential accumulation of the endogenous Protoporphyrin IX (PpIX) in proliferative tissues, is used as an exogenous marker to target the tumor, /spl delta/-aminolevulinic acid is topically administered to the patient ...


Computer Simulation for Hyperthermia Treatment Planning

1985 15th European Microwave Conference, 1985

A numerical procedure to calculate and optimize transient temperature distributions in realistic cross sections of the human body is described. In the simulation, the therapeutic effect of the tumor temperature distribution is maximized by regulating superficial skin cooling and microwave power of multiple applicators while minimizing normal tissue damage. Results pertaining to the treatment of a tumor in the lower ...


Comparative Study on Boundary Structural Irregularity Using Local FD and Curvature Analysis for Melanoma Detection

2010 4th International Conference on Bioinformatics and Biomedical Engineering, 2010

Feature extracted from structural irregularity for skin lesion boundaries has a great significance in computer-aided diagnosis for melanomas. Based on previous work using local fractal dimension (local FD) for contour irregularity descriptions, the novelty of this paper focuses on: (1) Multi- scaled curvature analysis is used to acquire features of boundary irregularity (2) Feature differences from adjacent scales are investigated ...


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Educational Resources on Skin neoplasms

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IEEE-USA E-Books

  • Artificial intelligence applied to detection of melanoma

    None

  • Irregularity and Asymmetry Analysis of Skin Lesions Based on Multi-Scale Local Fractal Distributions

    To tackle the problems of detecting structural irregularity and asymmetry of skin lesion boundaries in the early CAD diagnosis of melanomas, a multiscaled local fractal algorithm is proposed in the paper where sequent removing textural irregularity from skin lesion boundaries is performed and features of boundary irregularity under multiscale are extracted. Meanwhile, a novel method of structural irregularity measurements, as a key diagnostic factor, is given and boundary asymmetry measurements using local fractals are also presented. Experiments show that features extracted by the proposed scheme have advantages over global fractal and geometric measures in enlarging inter- differences between tumor and benign lesions using multiscaled contour irregular information. The local fractal based asymmetry measures obviously strengthen asymmetric degrees of melanoma lesions to provide multi-source irregularity descriptors and enhance the capability of discriminating skin tumors on characteristics of boundary irregularity and asymmetry.

  • Fluorescence lifetime imaging: an application to the detection of skin tumors

    A portable system based on fluorescence lifetime imaging has been developed and tested for the detection of skin tumors in humans. The Heme precursor /spl delta/-aminolevulinic acid, which promotes the preferential accumulation of the endogenous Protoporphyrin IX (PpIX) in proliferative tissues, is used as an exogenous marker to target the tumor, /spl delta/-aminolevulinic acid is topically administered to the patient 1 h before the measurement. Then, using a gated intensified camera, two or more images of the sample are acquired after different delays with respect to the excitation pulses. The images are processed in real time in order to calculate the spatial map of the fluorescence decay time of the sample. The localization of the tumor is based on the longer decay time detected in neoplastic tissues as a result of the stronger emission of PpIX, which has a long decay time, and the reduction in the short living natural tissue fluorescence.

  • Computer Simulation for Hyperthermia Treatment Planning

    A numerical procedure to calculate and optimize transient temperature distributions in realistic cross sections of the human body is described. In the simulation, the therapeutic effect of the tumor temperature distribution is maximized by regulating superficial skin cooling and microwave power of multiple applicators while minimizing normal tissue damage. Results pertaining to the treatment of a tumor in the lower limb are included.

  • Comparative Study on Boundary Structural Irregularity Using Local FD and Curvature Analysis for Melanoma Detection

    Feature extracted from structural irregularity for skin lesion boundaries has a great significance in computer-aided diagnosis for melanomas. Based on previous work using local fractal dimension (local FD) for contour irregularity descriptions, the novelty of this paper focuses on: (1) Multi- scaled curvature analysis is used to acquire features of boundary irregularity (2) Feature differences from adjacent scales are investigated to enhance the discrimination power between malignant skin tumors and benign. The comparative experiments of both local FD and curvature analysis show that the features difference of adjacent scales has characteristics of larger inter-class Hausdorff distance with the scale increase, while local FD performs better than curvature analysis with larger Hausdorff distance value. Results show that these two approaches not only have strong classification capacity of structure irregularity, but also helpful to remove texture irregularity for achieving robust classification.

  • Application Of Combined CO/sub 2/ Nd-YAG Laser With Scanning Devices For Gerontological Patients

    None

  • Principal component analysis for poultry tumor inspection using hyperspectral fluorescence imaging

    This paper presents detection of skin tumor on poultry carcasses using hyperspectral fluorescence images. Image samples are obtained from a hyperspectral imaging system that provides digital images of 65 spectral bands with wavelength ranging from 425 [nm] to 711 [nm]. The principal component analysis (PCA) technique finds an effective representation of spectral signature in a reduced dimensional feature space. A support vector machine (SVM) classifies the feature vectors and makes a decision whether each pixel falls in normal or tumor categories.

  • Automatic identification of tissue interfaces

    A method for automatic identification of tissue interfaces from medical images has been developed and tested. The spatial gradient vector is constructed and expressed as a function G( nu ) of tissue density. The relative maxima of G identify ranges of gray levels corresponding to tissue interfaces. These density ranges are then assigned full opacity and shaded. Examples of CT (computed tomography) and MR (magnetic resonance) scans demonstrate that the resulting visualization maintains all the advantages of the volume-rendering technique while eliminating the task of tissue classification.<<ETX>>

  • Classification of skin tumors based on shape features of nuclei

    Summary form only given. In this paper, an automated system to segment cell nuclei of dermatofibroma (DF) and dermatofibrosarcoma protuberans (DFSP) is proposed. It is difficult to segment nuclear regions accurately, because there exists a lot of ambiguous nuclei. Objective of the system is to segment nuclear regions objectively and in some accuracy. In the system, regions to be segmented are defined as regions that are surrounded by edges of certain strength. Under this restriction, arbitrary shaped nuclear regions and weakly stained nuclear regions are possible to be extracted. At first, contrast emphasis using hue is done as preprocessing. Image binarization is done by a dynamic thresholding method with implementation of Laplacian-histogram method and Otsu/spl square/fs thresholding method. At last, separation of the overlapping nuclei is carried out by watershed algorithm. To evaluate availability of this system, segmentation test was done using real tissue cell images of DF and DFSP. From some features computed from the segmented nuclear regions, an automated classification of benign tumor or malignant tumor is finally performed.

  • Electrical neuroimmunomodulation-a possible mechanism for wound and cancer treatment

    The authors begin the paper with a short review of what is known today about the effects of electric currents and fields on wound healing and cancer treatment. While many local mechanisms of electrotherapy are quite well determined, most of the knowledge regarding systemic mechanisms is still speculative. Probably the most rational explanation for such systemic mechanisms is based on bidirectional interconnections between the nervous system, which is primarily affected by electrostimulation, and the immune system. In recent years, much interest has been focused on the interactions between these two systems. After a recapitulation of the most important studies in the field, the authors present a model of the physiological interactions between the two systems. Using this model, the authors attempt to explain the global effect of electrical neurostimulation on wound healing and its possible use for cancer treatment.



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