Mostrando ítems 1-13 de 13

    • A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational Classifier 

      Amin, Javeria; Anjum, Muhammad Almas; Sharif, Muhammad; Jabeen, Saima; Kadry, Seifedine; Moreno-Ger, Pablo (Computational Intelligence and Neuroscience, 2022)
      A brain tumor is an abnormal enlargement of cells if not properly diagnosed. Early detection of a brain tumor is critical for clinical practice and survival rates. Brain tumors arise in a variety of shapes, sizes, and ...
    • ADT-3D Tumor Detection Assistant in 3D 

      García Castellot, Jaime; Lazcano Bello, Jaime (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2008)
      The present document describes ADT-3D (Three-Dimensional Tumor Detector Assistant), a prototype application developed to assist doctors diagnose, detect and locate tumors in the brain by using CT scan. The reader may find ...
    • Analyzing and classifying MRI images using robust mathematical modeling 

      Bhatia, Madhulika; Bhatia, Surbhi; Hooda, Madhurima; Namasudra, Suyel; Taniar, David (Multimedia Tools and Applications, 2022)
      Medical imaging is an exponentially growing field, which consists of a set of tools and techniques used to extract useful information from medical images. Magnetic Resonance Imaging (MRI) is one of the most popular techniques ...
    • Client Profile of Spanish Fitness Centers: Segmentation by Loyalty and Characteristics of the Client 

      García-Fernández, Jerónimo; Gálvez-Ruiz, Pablo ; Vélez-Colón, Luisa (Sports Management as an Emerging Economic Activity: Trends and Best Practices, 2017)
      With the growth of the fitness sector, a concern for client loyalty emerges as managers recognize its importance. Loyalty is the client’s predisposition to select a preferred provider and the tendency to resist any persuasion ...
    • 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), 09/2017)
      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. ...
    • Deep Learning Assisted Medical Insurance Data Analytics With Multimedia System 

      Zhang, Cheng; Vinodhini, B.; Muthu, Bala Anand (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Big Data presents considerable challenges to deep learning for transforming complex, high-dimensional, and heterogeneous biomedical data into health care data. Various kinds of data are analyzed in recent biomedical research ...
    • 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), 09/2017)
      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 ...
    • Diagnosis of Malignant Melanoma of Skin Cancer Types 

      Alasadi, Abbas Hassin; Alsafy, Baidaa (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2017)
      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 ...
    • Improving Wearable Activity Recognition via Fusion of Multiple Equally-Sized Data Subwindows 

      Banos, Oresti; Gálvez, Juan Manuel; Damas, Miguel; Guillén, Alberto; Herrera, Luis Javier; Pomares, Héctor; Rojas, Ignacio; Villalonga, Claudia (Lecture Notes in Computer Science, 2019)
      The automatic recognition of physical activities typically involves various signal processing and machine learning steps used to transform raw sensor data into activity labels. One crucial step has to do with the segmentation ...
    • Jugador de golf como segmento de clientes: la influencia del nivel de handicap y la residencia en la satisfacción del cliente y el gasto 

      Macías, R.; Bonal, J.; Iván-Baragaño, I.; León-Quismondo, J; Herráiz, M.; Leguina, M.; del Arco, J.; Pérez-González, Benito; Burillo, P.; Fernández-Luna, Álvaro (JURUFRA, 12/2023)
      La segmentación se ha demostrado como una de las mejores herramientas para facilitar el logro de objetivos por parte de las entidades deportivas. El objetivo de esta investigación fue analizar la influencia en el gasto y ...
    • El mercado interinsular de transporte aéreo canario. Un análisis de segmentación y perfil de los pasajeros residentes en las Islas Canarias. 

      Fumero-Lázaro, Daniel (24/07/2019)
      El objetivo del presente trabajo es analizar, comparar y determinar los segmentos y el perfil de los pasajeros canarios que viajan en avión entre islas a través de una encuesta realizada a un total de 390 residentes del ...
    • Multi-agent Systems for Arabic Handwriting Recognition 

      Boulid, Youssef; Souhar, Abdelghani; Elyoussfi Elkettani, Mohamed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      This paper aims to give a presentation of the PhD defended by Boulid Youssef on December 26th, 2016 at University Ibn Tofail, entitled “Arabic handwritten recognition in an offline mode”. The adopted approach is realized ...
    • Visual Geometry Group based on U-Shaped Model for Liver/Liver Tumor Segmentation 

      Amin, Javeria; Almas Anjum, Muhammad; Sharif, Muhammad; Kadry, Seifedine; González-Crespo, Rubén (IEEE Latin America Transactions, 2023)
      Liver cancer is the primary reason of death around the globe. Manually detecting the infected tissues is a challenging and time-consuming task. The computerized methods help make accurate decisions and therapy processes. ...