• 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 ...
    • Brain Tumor Segmentation and Identification Using Particle Imperialist Deep Convolutional Neural Network in MRI Images 

      Khemchandani, Maahi Amit; Jadhav, Shivajirao Manikra; Iyer, B. R. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2022)
      For the past few years, segmentation for medical applications using Magnetic Resonance (MR) images is concentrated. Segmentation of Brain tumors using MRIpaves an effective platform to plan the treatment and diagnosis of ...
    • 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 ...
    • Solving an Optimal Control Problem of Cancer Treatment by Artificial Neural Networks 

      Heydarpour, F.; Abbasi, E.; Ebadi, M. J.; Karbassi, S. M. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      Cancer is an uncontrollable growth of abnormal cells in any tissue of the body. Many researchers have focused on machine learning and artificial intelligence (AI) based on approaches for cancer treatment. Dissimilar to ...