Browsing School of Computer and Communication Engineering (FYP) by Subject "Gastritis"

Now showing items 1-4 of 4

    • Colour moment method to extract features from endoscopic gastritis digitized images 

      Nur Thuraiya, Noor Azman (Universiti Malaysia Perlis (UniMAP)School of Computer and Communication Engineering, 2015-06)
      Gastritis is a disorder that occur when the stomach lining become swollen, a condition of inflammation or irritation of stomach lining. Normally, visual interpretation or pathology diagnosis is applied to detect any ...

    • EDA-DB discretization method to extract essential features for endoscopic gastritis dataset 

      Ummul Khir, Ramli (Universiti Malaysia Perlis (UniMAP)School of Computer and Communication Engineering, 2015-06)
      Since most real-world applications of classification learning involve continuous-valued attributes, extracting data pattern from raw data is an important task. The major purpose of this project is to build a discretization ...

    • Symmetrical uncertainty method to extract essential features for Endoscopic Gastritis data set 

      Nur Amalina, Ilyas (Universiti Malaysia Perlis (UniMAP)School of Computer and Communication Engineering, 2015-06)
      Classifying high dimensional numerical data is an exceptionally difficult issue. High dimensional data for example data sets with hundreds or thousands of features, can contain high degree of irrelevant and redundant ...

    • Texture feature extraction for endoscopic gastritis images 

      Hasliza, Abdul Rahman (Universiti Malaysia Perlis (UniMAP)School of Computer and Communication Engineering, 2015-06)
      Gastritis is the disease that cause patient to feel uncomfortable in the abdomen. Normally, image on the abdomen will be taken to identify the abnormalities that occurs in the stomach. This report will presents a ...