Analysis of periapical lesion using statistical textural features.

نویسندگان

  • B Caputo
  • G E Gigante
چکیده

In this work we present a quantitative study on different regions of periapical images with a series of textural features, extracted using cooccurrence matrices; those features are used for a pattern recognition analysis by means of an artificial neural network. The obtained results show that it is possible to recognize in an objective way changes in bone pattern.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Development of Diagnostic Classifier for Ultrasound Liver Lesion Images

Liver cancer is the fifth most common cancer worldwide in men and eighth in women, and is one of the few cancers still on the rise. In this study, we focus on Development of Diagnostic Classifier for Ultrasound liver lesion. Naturaly, Ultrasound liver lesion images are having more spackle noise. Developing classifier for ultrasound liver lesion image is a challenging task. We approach fully aut...

متن کامل

Radiographic features of periapical cysts and granulomas.

Many studies have been reported on radiographic lesion sizes of periapical lesions. However no studies have been reported on prevalences of subjective radiographic features in these lesions except for the early assumption that a periapical cyst usually exhibit a radiopaque cortex. This study is conducted to evaluate the prevalences of several subjective radiographic features of periapical cysts...

متن کامل

Rate and comparison of periapical inflammatory lesions using clinical diagnosis and histopathological findings during the 18-year study period

BACKGROUND AND AIM: Inflammatory Periapical lesions are the most common periapical lesions. These lesions are often diagnosed based on clinical and radiological examination, which may be different from the histological finding. The present study was carried out with aim to assess the rate and to compare clinical and radiographic features with histological diagnosis of periapical pathology.METHO...

متن کامل

The Prediction of the Tensile Strength of Sandstones from their petrographical properties using regression analysis and artificial neural network

This study investigates the correlations among the tensile strength, mineral composition, and textural features of twenty-ninesandstones from Kouzestan province. The regression analyses as well as artificial neural network (ANN) are also applied to evaluatethe correlations. The results of simple regression analyses show no correlation between mineralogical features and tensile strength.However,...

متن کامل

Melanoma Detection using Statistical Texture Distinctiveness Segmentation

Melanoma is the most dangerous form of skin cancer. It must be detected in the initial stage to increase the survival rates. In medical field, Melanoma detection is usually done by clinical analysis and biopsy tests. These methods are time consuming, expensive and have many side effects. Thus, an automated melanoma detection system is better to assess a patient’s risk of melanoma in the initial...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Studies in health technology and informatics

دوره 77  شماره 

صفحات  -

تاریخ انتشار 2000