Publications

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Book Chapter
Myers, T. E., A. L. Richards, P. Daszak, S. P. Luby, J. H. Epstein, J. M. Hossain, E. S. Gurley, J. R. C. Pulliam, A. Zayed, M. S. Abdel-Dayem, et al., "Emerging and re-emerging diseases", Environmental Tracking for Public Health Surveillance, vol. 11: CRC Press, pp. 187, 2012. Abstract
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Osman, M. A., A. Darwish, A. Z. Ghalwash, and A. E. Hassanien, "Enhanced Breast Cancer Diagnosis System Using Fuzzy Clustering Means Approach in Digital Mammography", Handbook of Research on Machine Learning Innovations and Trends, USA, IGI, 2017. Abstract

Breast cancer or malignant breast neoplasm is the most common type of cancer in women. Researchers are not sure of the exact cause of breast cancer. If the cancer can be detected early, the options of treatment and the chances of total recovery will increase. Computer Aided Diagnostic (CAD) systems can help the researchers and specialists in detecting the abnormalities early. The main goal of computerized breast cancer detection in digital mammography is to identify the presence of abnormalities such as mass lesions and Micro calcification Clusters (MCCs). Early detection and diagnosis of breast cancer represent the key for breast cancer control and can increase the success of treatment. This chapter investigates a new CAD system for the diagnosis process of benign and malignant breast tumors from digital mammography. X-ray mammograms are considered the most effective and reliable method in early detection of breast cancer. In this chapter, the breast tumor is segmented from medical image using Fuzzy Clustering Means (FCM) and the features for mammogram images are extracted. The results of this work showed that these features are used to train the classifier to classify tumors. The effectiveness and performance of this work is examined using classification accuracy, sensitivity and specificity and the practical part of the proposed system distinguishes tumors with high accuracy.

Osman, M. A., A. Darwish, A. Z. Ghalwash, and A. E. Hassanien, "Enhanced Breast Cancer Diagnosis System Using Fuzzy Clustering Means Approach in Digital Mammography", Handbook of Research on Machine Learning Innovations and Trends, USA, IGI, 2017. Abstract

Breast cancer or malignant breast neoplasm is the most common type of cancer in women. Researchers are not sure of the exact cause of breast cancer. If the cancer can be detected early, the options of treatment and the chances of total recovery will increase. Computer Aided Diagnostic (CAD) systems can help the researchers and specialists in detecting the abnormalities early. The main goal of computerized breast cancer detection in digital mammography is to identify the presence of abnormalities such as mass lesions and Micro calcification Clusters (MCCs). Early detection and diagnosis of breast cancer represent the key for breast cancer control and can increase the success of treatment. This chapter investigates a new CAD system for the diagnosis process of benign and malignant breast tumors from digital mammography. X-ray mammograms are considered the most effective and reliable method in early detection of breast cancer. In this chapter, the breast tumor is segmented from medical image using Fuzzy Clustering Means (FCM) and the features for mammogram images are extracted. The results of this work showed that these features are used to train the classifier to classify tumors. The effectiveness and performance of this work is examined using classification accuracy, sensitivity and specificity and the practical part of the proposed system distinguishes tumors with high accuracy.

Osman, M. A., A. Darwish, A. E. Khedr, A. Z. Ghalwash, and A. E. Hassanien, "Enhanced Breast Cancer Diagnosis System Using Fuzzy Clustering Means Approach in Digital Mammography", Handbook of Research on Machine Learning Innovations and Trends: IGI Global, pp. 925–941, 2017. Abstract
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Azar, A. T., A. E. Hassanien, T. - H. Kim, and others, "Expert system based on neural-fuzzy rules for thyroid diseases diagnosis", Computer Applications for Bio-Technology, Multimedia, and Ubiquitous City: Springer Berlin Heidelberg, pp. 94–105, 2012. Abstract
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Azar, A. T., A. E. Hassanien, T. - H. Kim, and others, "Expert system based on neural-fuzzy rules for thyroid diseases diagnosis", Computer Applications for Bio-Technology, Multimedia, and Ubiquitous City: Springer Berlin Heidelberg, pp. 94–105, 2012. Abstract
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Azar, A. T., A. E. Hassanien, T. - H. Kim, and others, "Expert system based on neural-fuzzy rules for thyroid diseases diagnosis", Computer Applications for Bio-Technology, Multimedia, and Ubiquitous City: Springer Berlin Heidelberg, pp. 94–105, 2012. Abstract
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Elkaramany, E. M., M. F. Hameed, and S. S. A. Obayya, "Fundamentals of Photonic Crystals", Computational Photonic Sensors, Switzerland, Springer, 2019.
Agarwal, R. P., S. R. Grace, and D. O’Regan, "Further Results on the Oscillation of Differential Equations", Oscillation Theory for Second Order Linear, Half-Linear, Superlinear and Sublinear Dynamic Equations: Springer, pp. 457-490, 2002. Abstract
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Wahid, R., N. I. Ghali, H. S. Own, T. - H. Kim, and A. E. Hassanien, "A Gaussian mixture models approach to human heart signal verification using different feature extraction algorithms", Computer Applications for Bio-technology, Multimedia, and Ubiquitous City: Springer Berlin Heidelberg, pp. 16–24, 2012. Abstract
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Wahid, R., N. I. Ghali, H. S. Own, T. - H. Kim, and A. E. Hassanien, "A Gaussian mixture models approach to human heart signal verification using different feature extraction algorithms", Computer Applications for Bio-technology, Multimedia, and Ubiquitous City: Springer Berlin Heidelberg, pp. 16–24, 2012. Abstract
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Ouannas, A., A. T. Azar, T. Ziar, and A. G. Radwan, "Generalized Synchronization of Different Dimensional Integer-Order and Fractional Order Chaotic Systems", Fractional Order Control and Synchronization of Chaotic Systems: Springer International Publishing, pp. 671–697, 2017. Abstract
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Ouannas, A., A. T. Azar, T. Ziar, and A. G. Radwan, "Generalized Synchronization of Different Dimensional Integer-Order and Fractional Order Chaotic Systems", Fractional Order Control and Synchronization of Chaotic Systems: Springer, Cham, pp. 671–697, 2017. Abstract
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Sharaky, A. M., S. N., F. O.M., and S. E.R, "Groundwater Quality and Potentiality of Moghra Aquifer, Northwestern Desert, Egypt", Groundwater in Egypt’s Deserts, Giza, Springer, 2021. moghra.pdf
O, M., and A. D, "HDR in Prostate Cancer. ", Hypofractionation: Scientific Concepts and Clinical Experiences,, Miami, Lumitext, 2011.
Odman, P. - J., "Hermeneutics", The {International} {Encyclopedia} of {Education}, Oxford, UK, Pergamon, pp. 2162–2169, 1985. Abstract
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Omar, M. T. A., F. A. Hegazy, and S. P. Mokashi, "Influences of purposeful activity versus rote exercise on improving pain and hand function in pediatric burn in Year Book in Sports Medicine 2012", Year Book in Sports Medicine 2012: Mosby, 2012.
Osman, H., K. Bainbridge, M. Gibbons, C. Macey, and R. Homeniuk, "An integrated management approach for critical water mains", Pipelines 2008: Pipeline Asset Management: Maximizing Performance of our Pipeline Infrastructure, pp. 1–10, 2008. Abstract
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Elkaramany, E. M., M. F. Hameed, and S. S. A. Obayya, "Introduction to Optical Waveguides", Computational Photonic Sensors, Switzerland, Springer, 2019.
Hameed, M. F., A. S. S. Ahmed, E. M. Elkaramany, and S. S. A. Obayya, "Introduction to Silicon Photonics", Computational Photonic Sensors, Switzerland, Springer, 2019.
Gadallah, A., M. B. Mohamed, I. M. Azzouz, and others, "Investigation of the Metal–Semiconductor Hybrid Nanostructure as an Active Medium for Laser", Nano-Optics for Enhancing Light-Matter Interactions on a Molecular Scale: Springer Netherlands, pp. 403–403, 2013. Abstract
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Hillier, B., J. Musgrove, and P. O'Sullivan, "Knowledge and {Design}", Development in {Design} {Methodology}, Chichester, Wiley, pp. 245–264, 1984. Abstract
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El-Toukhy, T., and A. Osman, "Macronutrient Intake, Fertility, and Pregnancy Outcome", Nutrition, Fertility, and Human Reproductive Function, Australia, CRC press.Taylor & Francis Group, 2015. screen_shot_2016-05-07_at_15.10.48.png
Obeida, A., and A. Shalaby, "Management of Gastroschisis", Pediatric Surgery, Flowcharts and Clinical Algorithms: InTechOpen, 2019. obeida2019.pdf
Osman, A., and T. E. Toukhy, "Management of infertile couple", Algorithms for Obstetrics and Gynaecology , Oxford, Oxford University Press, 2014.