Learning to Diagnose Cirrhosis with Liver Capsule Guided Ultrasound Image Classification
نویسندگان
چکیده
This paper proposes a computer-aided cirrhosis diagnosis system to diagnose cirrhosis based on ultrasound images. We first propose a method to extract a liver capsule on an ultrasound image, then, based on the extracted liver capsule, we fine-tune a deep convolutional neural network (CNN) model to extract features from the image patches cropped around the liver capsules. Finally, a trained support vector machine (SVM) classifier is applied to classify the sample into normal or abnormal cases. Experimental results show that the proposed method can effectively extract the liver capsules and accurately classify the ultrasound images.
منابع مشابه
Automatic classification of Non-alcoholic fatty liver using texture features from ultrasound images
Background: Accurate and early detection of non-alcoholic fatty liver, which is a major cause of chronic diseases is very important and is vital to prevent the complications associated with this disease. Ultrasound of the liver is the most common and widely performed method of diagnosing fatty liver. However, due to the low quality of ultrasound images, the need for an automatic and intelligent...
متن کاملAutomatic 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...
متن کاملTexture Classification of Diffused Liver Diseases Using Wavelet Transforms
Introduction: A major problem facing the patients with chronic liver diseases is the diagnostic procedure. The conventional diagnostic method depends mainly on needle biopsy which is an invasive method. There are some approaches to develop a reliable noninvasive method of evaluating histological changes in sonograms. The main characteristic used to distinguish between the normal...
متن کاملLiver Cirrhosis Classification on M-Mode Ultrasound Images by Higher-Order Local Auto- Correlation Features
Ultrasound images are widely used for diagnosis of liver cirrhosis. In liver cirrhosis classification using Mmode ultrasound images, Zhou’s method has been shown to be effective. However, in Zhou’s approach, the liver cirrhosis classification performance depends on the accuracy of the abdominal aorta wall extraction. Therefore, we examine to classify the liver cirrhosis not using the abdominal ...
متن کاملEUS-guided FNA of a portal vein thrombus in hepatocellular carcinoma
Portal vein thrombosis is a relatively rare but well-known complication of cirrhosis that has a prevalence of between 1% and 5.7%. On the contrary, in case of hepatocellular carcinoma (HCC), it is a much more frequent complication. In this paper, we presented three cases that had liver cirrhosis, mass and portal vein thrombosis in liver. We were not able to diagnose the cases through imaging me...
متن کامل