Akbar Garbali
Urmia University of Medical Sciences, Urmia, Iran
[ 1 ] - Automated differentiation of benign and malignant liver tumors by Ultrasound Images
Background & Aims: Early detection and reliable differentiation of benign and malignant liver tumors could lead to improved cure rate and costs. Ultrasound image (US) is a convenient medical imaging method for interpreting liver tumors. Visual inspection of ultrasound images sometimes is combined with error and needs biopsy to confirm whether a tumor would be benign or malignant. The aim of thi...
[ 2 ] - Computerize classification of Benign and malignant thyroid nodules by ultrasound imaging
Introduction: Early detection and treatment of thyroid nodules increase the cure rate and provide optimal treatment. Ultrasound is the chosen imaging technique for assessment of thyroid nodules. Confirmation of the diagnosis usually demands repeated fine needle aspiration biopsy (FNAB). So, current management, has morbidity and non zero mortality. The goal of the present study ...
[ 3 ] - Texture analysis of the ovarian lesions by CT scan images
Introduction: To explore diagnostic potential of computerize texture analysis methods in discrimination of the normal, benign and malignant ovarian lesions by CT scan imaging. Materials and Methods: Ovarian CT image database consists of 10 normal, 10 benign and 3 malignant which were reported by radiologist and proven by clinical examinat...
[ 4 ] - Automatic Classification of Benign And Malignant Liver Tumors In Ultrasound Images
Introduction: Differentiation of benign and malignant liver tumors is very important for finding appropriate treatment procedure. Human eyes sometime are not able to diagnose the type of liver tumor. Texture analysis is considered as a suitable method to increase the diagnostic power of medical images. In this study texture analysis is employed in order to classification of ben...
نویسندگان همکار