Conferences related to Lung neoplasms

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2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA)

The conference focuses on all areas of machine learning and its applications in medicine, biology, industry, manufacturing, security, education, virtual environments, game playing big data, deep learning, and problem solving.


2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17) in conjunction with International Biomedical Engineering Conference of KOSOMBE will be held at International Convention Center (ICC), Jeju Island, Korea from July 11 to 15, 2017. The overall theme of the conference is “Smarter Technology for Healthier World” and will cover diverse topics of cutting-edge research in biomedical engineering, healthcare technology R&D, translational clinical research, technology transfer and entrepreneurship, and biomedical engineering education. The conference program will feature high-profile keynote lectures, minisymposia, workshops, invited sessions, oral and poster sessions, sessions for students and young professions, sessions for clinicians and entrepreneurs, and exhibitions.


2017 42nd International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)

Infrared, Millimeter-Wave and Terahertz Science, Technology and Applications


2017 51st Asilomar Conference on Signals, Systems, and Computers

The Asilomar Conference provides an informal venue for technical exchange in the areas of signal processing, communication, system theory, biomedical signal processing, array processing, and computer architecture and arithmetic.


2017 American Control Conference (ACC)

Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.


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Periodicals related to Lung neoplasms

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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; ...


Computers, IEEE Transactions on

Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...


Display Technology, Journal of

This publication covers the theory, design, fabrication, manufacturing and application of information displays and aspects of display technology that emphasize the progress in device engineering, device design, materials, electronics, physics and reliabilityaspects of displays and the application of displays.


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Most published Xplore authors for Lung neoplasms

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Xplore Articles related to Lung neoplasms

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Efficient template matching with variable size templates in CUDA

Nicholas Moore; Miriam Leeser; Laurie Smith King 2010 IEEE 8th Symposium on Application Specific Processors (SASP), 2010

Graphics processing units (GPUs) offer significantly higher peak performance than CPUs, but for a limited problem space. Even within this space, GPU solutions are often restricted to a set of specific problem instances or offer greatly varying performance for slightly different parameters. This makes providing a library of GPU implementations that is adaptable to arbitrary inputs a difficult task. This ...


Computer assisted diagnosis of lung cancer using helical X-ray CT

K. Kanazawa; N. Niki; H. Satoh; H. Ohmatsu; N. Moriyama Proceedings of IEEE Workshop on Biomedical Image Analysis, 1994

The authors describe a computer assisted diagnosis system for lung cancer that detects a candidate tumor in its early stage from helical X-ray CT images with precise measurement conditions. Recently, helical X-ray CT images have been used as a mass screening diagnostic tool, but considering the number of images to be checked, the checking time is too long. Here the ...


Medical Image Segmentation Using Improved Mountain Clustering Technique Version-2

Nishchal K. Verma; Abhishek Roy; Shantaram Vasikarla 2010 Seventh International Conference on Information Technology: New Generations, 2010

This paper proposes Improved Mountain Clustering version-2 (IMC-2) based medical image segmentation. The proposed technique is a more powerful approach for medical image based diagnosing diseases like brain tumor, tooth decay, lung cancer, tuberculosis etc. The IMC-2 based medical image segmentation approach has been applied on various categories of images including MRI images, dental X-rays, chest X-rays and compared with ...


Combination of KNN-Based Feature Selection and KNNBased Missing-Value Imputation of Microarray Data

Phayung Meesad; Kairung Hengpraprohm 2008 3rd International Conference on Innovative Computing Information and Control, 2008

Microarrays are useful biological resource to study living forms at the molecule level. Microarrays usually have only few samples but high dimensionality with many missing values. The consequent downstream analysis becomes less efficiency. This paper proposes a methodology to impute missing values in microarray data. The proposed methodology is a combination of KNN- based feature selection and KNN-based imputation (KNNFS ...


A Ladder-Structured Decision Tree for Recognizing Tumors in Chest Radiographs

D. H. Ballard; J. Sklansky IEEE Transactions on Computers, 1976

We describe a hierarchic computer procedure for the detection of nodular tumors in a chest radiograph. The radiograph is scanned and consolidated into several resolutions which are enhanced and analyzed by a hierarchic tumor recognition process. The hierarchic structure of the tumor recognition process has the form of a ladder-like decision tree. The major steps in the decision tree are: ...


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Educational Resources on Lung neoplasms

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eLearning

Efficient template matching with variable size templates in CUDA

Nicholas Moore; Miriam Leeser; Laurie Smith King 2010 IEEE 8th Symposium on Application Specific Processors (SASP), 2010

Graphics processing units (GPUs) offer significantly higher peak performance than CPUs, but for a limited problem space. Even within this space, GPU solutions are often restricted to a set of specific problem instances or offer greatly varying performance for slightly different parameters. This makes providing a library of GPU implementations that is adaptable to arbitrary inputs a difficult task. This ...


Computer assisted diagnosis of lung cancer using helical X-ray CT

K. Kanazawa; N. Niki; H. Satoh; H. Ohmatsu; N. Moriyama Proceedings of IEEE Workshop on Biomedical Image Analysis, 1994

The authors describe a computer assisted diagnosis system for lung cancer that detects a candidate tumor in its early stage from helical X-ray CT images with precise measurement conditions. Recently, helical X-ray CT images have been used as a mass screening diagnostic tool, but considering the number of images to be checked, the checking time is too long. Here the ...


Medical Image Segmentation Using Improved Mountain Clustering Technique Version-2

Nishchal K. Verma; Abhishek Roy; Shantaram Vasikarla 2010 Seventh International Conference on Information Technology: New Generations, 2010

This paper proposes Improved Mountain Clustering version-2 (IMC-2) based medical image segmentation. The proposed technique is a more powerful approach for medical image based diagnosing diseases like brain tumor, tooth decay, lung cancer, tuberculosis etc. The IMC-2 based medical image segmentation approach has been applied on various categories of images including MRI images, dental X-rays, chest X-rays and compared with ...


Combination of KNN-Based Feature Selection and KNNBased Missing-Value Imputation of Microarray Data

Phayung Meesad; Kairung Hengpraprohm 2008 3rd International Conference on Innovative Computing Information and Control, 2008

Microarrays are useful biological resource to study living forms at the molecule level. Microarrays usually have only few samples but high dimensionality with many missing values. The consequent downstream analysis becomes less efficiency. This paper proposes a methodology to impute missing values in microarray data. The proposed methodology is a combination of KNN- based feature selection and KNN-based imputation (KNNFS ...


A Ladder-Structured Decision Tree for Recognizing Tumors in Chest Radiographs

D. H. Ballard; J. Sklansky IEEE Transactions on Computers, 1976

We describe a hierarchic computer procedure for the detection of nodular tumors in a chest radiograph. The radiograph is scanned and consolidated into several resolutions which are enhanced and analyzed by a hierarchic tumor recognition process. The hierarchic structure of the tumor recognition process has the form of a ladder-like decision tree. The major steps in the decision tree are: ...


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