International Journals

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    BRAIN STROKE SEGMENTATION USING FUZZY C-MEANS CLUSTERING
    (Foundation of Computer Science, 2016-11) S, Keerthana; K, Sathiyakumari
    Image processing technique plays an important role in medical science for envisage various phenomenal structure of human body. Even though it helps more, sometimes it’s very difficult to detect abnormal structures of human body by using simple images. Magnetic Resonance Imaging (MRI) is the one of the most significant technique to analyze human body and helpful for distinguishing and expounding the neural architecture of human brain effectively. This proposed strategy focus on detection and extraction of brain stroke from different patient’s MRI images. In this work some preprocessing techniques like noise removal, filtering and segmentation is used for extract brain stroke partition accurately. The segmentation of brain stroke is implemented by using Fuzzy C-Means (FCM) clustering with two different levels of extraction. Edge detection is used for finding segmented portion of brain stroke edges accurately. Finally the stroke size is calculated for help doctors to make effective decisions about brain stroke. The experimental result proven that the proposed method is successful in detecting and extraction brain stroke efficiently with less time.
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    AN ANALYSIS OF TECHNIQUES IN IMAGE PROCESSING FOR DETECTING PANCREATIC TUMOR – A REVIEW
    (Journal of Advanced Research in Dynamical and Control Systems, 2018-03) Sindhu A; Radha V
    Pancreatic cancer develops when cells starts growing uncontrollable around the pancreatic region. Most of the pancreatic death occurs due to the late detection of the disease where cancer spreads throughout the pancreas and to the nearby organ like the Liver. So, most of the patients are diagnosed with pancreatic tumor after it reaches a stage where surgery is not possible. This is because there are several major blood vessels which cannot be resected. Image processing techniques are widely used in several medical areas for doctors in earlier detection and treatment stages PET scan has become the modality of choice in the preoperative diagnosis and staging of disease and in treatment planning and follow-up in patients with pancreatic tumors. This paper presents the overview of pancreatic tumor types and image processing techniques used to diagnose the disease at an early stage