فهرست مقالات medical images

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  1 - Improving the Accuracy of Detecting Cancerous Tumors Based on Deep Learning on MRI Images
  Milad Ghasemi Maryam Bayati
  10.30486/mjtd.2022.1976170.1005
  The continuous progress of photography technologies as well as the increase in the number of images and their applications requires the emergence of new algorithms with new and different capabilities. Among the various processes on medical images, the segmentation of me چکیده کامل

  The continuous progress of photography technologies as well as the increase in the number of images and their applications requires the emergence of new algorithms with new and different capabilities. Among the various processes on medical images, the segmentation of medical images has a special place and has always been considered and investigated as one of the important issues in the processing of medical images. Based on this, in this research, a solution to diagnose the tumor through the use of a combined method based on watershed algorithm, co-occurrence matrix and neural networks has been presented, so that through the use of this combined solution, the tumor can be detected with high accuracy. Medical images diagnosed. According to the method used in this research, as well as the implementation of the solution in the Python environment and through the use of CV2 and SimpleITK modules, it is possible to set parameters such as accuracy, correctness, recall and Fscore criteria. which are always important parameters that are investigated in researches, improved compared to the past and achieved favorable results. This will increase the improvement of tumor detection in the brain compared to Thersholding and TKMeans methods. پرونده مقاله
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  2 - Investigation and Simulation of Different Medical Image Processing Algorithms to Improve Image Quality Using Simulink MATLAB
  Parissa Salehi Neda Behzadfar
  After the discovery of X-rays with the increasing use of digital imaging systems, medical image processing has become more important. Medical image processing helps specialists in diagnosing diseases. In addition to major digital techniques such as computed tomography ( چکیده کامل

  After the discovery of X-rays with the increasing use of digital imaging systems, medical image processing has become more important. Medical image processing helps specialists in diagnosing diseases. In addition to major digital techniques such as computed tomography (CT) or magnetic resonance imaging (MRI), analog imaging techniques such as endoscopy or radiography are now equipped with digital sensors. By processing images using different methods, the procedure applied to patients can be improved. Algorithms play a key role in noise filtering, segmentation, extraction, and characterization that diagnose diseases. MATLAB software and image processing toolbox provide a wide range of advanced image processing functions and interactive tools for enhancing and analyzing digital images. In this article, using several algorithms designed in MATLAB, the quality of images is examined and a more appropriate algorithm is selected. پرونده مقاله
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  3 - Transmission of Medical Images Based on Multi-mode Synchronization of Delayed Fractional-Order Coullete Chaotic Systems
  Ali Akbar Kekha Javan Assef Zare Saeed Balochian
  In this study, a safety mechanism is used for the transmission of medical data with disturbance and unknown parameters and unknown time delays using a new communication method. A new synchronization method for Fractional Order Systems (FOCS) for encryption of medical im چکیده کامل

  In this study, a safety mechanism is used for the transmission of medical data with disturbance and unknown parameters and unknown time delays using a new communication method. A new synchronization method for Fractional Order Systems (FOCS) for encryption of medical images based on the Coullete system with unknown time delay is proposed. In the proposed method, the control laws are determined using the Lyapunov stability theorem such that the convergence of the synchronization error to zero is guaranteed. In this study, multiple state synchronization is performed in the presence of disturbance and unknown time delay. The control laws are determined using the Lyapunov function such that the synchronization and estimation errors converge to zero. For medical color images encryption, we use the fractional-order chaotic synchronization system alongside the chaos masking technique. To test the efficiency of the proposed method in medical image transmission, various statistical parameters such as histogram, correlation, number of pixel change rate (NPCR), signal to peak noise ratio (PSNR), and information entropy are calculated. According to the values obtained for Entropy=7.8596, Correlation=0.9999, etc., the results show successfully encrypts the medical color images. پرونده مقاله