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    • Revista IJIMAI
    • 2017
    • vol. 4, nº 5, september 2017
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    • UNIR REVISTAS
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    • vol. 4, nº 5, september 2017
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    Difusion-Weighted MRI: from Brownian Motion to Head&Neck Tumor Characterization 

    Utrilla Contreras, Cristina; Buitrago Sánchez, Nelson Mauricio; Graessner, Joachim; García Raya, Pilar; Marin Aguilera, Begoña (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2017-09)
    This paper describes basic physics as well as clinical applications of diffusion-weighted magnetic resonance imaging. This is a technique that provides complementary information to conventional imaging sequences and it is ...

    Comparison of Feedforward Network and Radial Basis Function to Detect Leukemia 

    Bijalwan, Vishwanath; Balodhi, Meenu; Bagwari, Pragya; Saxena, Bhavya (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2017-09)
    Leukemia is a fast growing cancer also called as blood cancer. It normally originates near bone marrow. The need for automatic leukemia detection system rises ever since the existing working methods include labor-intensive ...

    The Combination of Mammography and MRI for Diagnosing Breast Cancer Using Fuzzy NN and SVM 

    Esmaeilpour, Mansour; Gohariyan, Elham; Shirmohammadi, Mohammad Mehdi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2017-09)
    Breast cancer is one of the common cancers among women so that early diagnosing of it can effectively help its treatment in this study, considering combination of Mammography and MRI pictures, we will try to recognize ...

    A Revision of Preventive Web-based Psychotherapies in Subjects at Risk of Mental Disorders 

    Sánchez-Gutiérrez, Teresa; Barbeito, Sara; Calvo, Ana (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2017-09)
    For the last years, the impulse of new technologies has overcome the traditional pathways of face-to-face clinical intervention and web-based psychological methodologies for intervention have started to gain success. This ...

    Diagnosis of Malignant Melanoma of Skin Cancer Types 

    Alasadi, Abbas Hassin; Alsafy, Baidaa (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2017-09)
    Malignant melanoma is a kind of skin cancer that begins in melanocytes. It can influence on the skin only, or it may expand to the bones and organs. It is less common, but more serious and aggressive than other types of ...

    Brain Computer Interface for Micro-controller Driven Robot Based on Emotiv Sensors 

    Asawa, Krishna; Gargava, Parth (https://ijimai.org/journal/bibcite/reference/2594, 2017-09)
    A Brain Computer Interface (BCI) is developed to navigate a micro-controller based robot using Emotiv sensors. The BCI system has a pipeline of 5 stages- signal acquisition, pre-processing, feature extraction, classification ...

    IJIMAI Editor's Note - Vol. 4 Issue 5 

    Cebrian Carretero, Jose Luis (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2017-09)
    Although Medicine has always been considered a Health Science, today it is not possible to obviate its relationship with other disciplines as Humanities and Basic Sciences. Doctors from everywhere and everyday work with ...

    Detection of Lung Nodules on Medical Images by the Use of Fractal Segmentation 

    Rezaie, Afsaneh Abdollahzadeh; Habiboghli, Ali (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2017-09)
    In the present paper, a method for the detection of malignant and benign tumors on the CT scan images has been proposed. In the proposed method, firstly the area of interest in which the tumor may exist is selected on the ...

    Contour Detection of Mammogram Masses Using ChanVese Model and B-Spline Approximation 

    Youssef, Youssef Ben; El Abdelmounim, hassane; Lamnii, Abdellah (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2017-09)
    ChanVese model segmentation has been applied for contour detection of mass region in mammogram in our previous work. Available information of the desired object contour is used, in this paper, for B-spline approximation. ...

    Selecting Statistical Characteristics of Brain Signals to Detect Epileptic Seizures using Discrete Wavelet Transform and Perceptron Neural Network 

    Esmaeilpour, Mansour; Abbasi, Rezvan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2017-09)
    Electroencephalogram signals (EEG) have always been used in medical diagnosis. Evaluation of the statistical characteristics of EEG signals is actually the foundation of all brain signal processing methods. Since the correct ...
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