• 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. ...
    • IMCAD: Computer Aided System for Breast Masses Detection based on Immune Recognition 

      Djamila, Hamdadou; Belkhodja, Leila (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      Computer Aided Detection (CAD) systems are very important tools which help radiologists as a second reader in detecting early breast cancer in an efficient way, specially on screening mammograms. One of the challenging ...
    • Improving Breast Cancer Detection Using DCGANs Generated Synthetic Mammograms 

      Garcia-Tiscar, Luis (11/09/2021)
      En el campo del Aprendizaje Automático, existe un compromiso entre la cantidad de datos con los que se entrena un modelo y los resultados del mismo. Uno de los principales problemas de la adquisición de datos son las ...
    • Quantitative Measures for Medical Fundus and Mammography Images Enhancement 

      Intriago-Pazmiño, Monserrate; Ibarra-Fiallo, Julio; Guzmán-Castillo, Adán; Alonso-Calvo, Raúl; Crespo, José (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      Enhancing the visibility of medical images is part of the initial or preprocessing phase within a computer vision system. This image preparation is essential for subsequent system tasks such as segmentation or classification. ...