نتایج جستجو برای: computeraided diagnosis texture analysis
تعداد نتایج: 3234260 فیلتر نتایج به سال:
Accuracy and efficiency are two major issues in designing CAD (Computer Aided Diagnosis) systems. Most of CAD systems are dedicated to visual feature extraction because it has been shown that visual information extracted from images can achieve similarity retrievals with high performance of effectiveness of the diagnosis, at the same time reducing the pain of the patients also. In the brain MR ...
OBJECTIVE This paper presents the use of the texture matching method to measure the rabbit carotid artery elasticity value of the experimental group and control group respectively. It compares the experimental rabbits, when they are prompted by pathological histology to be at the period of carotid atherosclerosis fatty streaks and fiber plaques, with the control group. METHODS We have used ul...
Detection of melanocytic skin lesion at an early stage increases the probability of being cured. Dermoscopy is a widely used diagnostic tool that aids the diagnosis of skin lesions and is proven to increase the accuracy of melanoma diagnosis. In this paper, vector based pattern analysis and classification approach for dermoscopic images are proposed. Feature plays a vital role in pattern recogn...
This paper uses theory, simulation, and laboratory experiment, to show that directional illumination, used during the image acquisition process, acts as a directional filter of three dimensional texture. It is shown that the directional characteristics of image texture are not intrinsic to the physical texture being imaged, as they are affected by the direction of the illumination. This result ...
Lung cancer is the most common disease with greater morality rate. Computed Tomography (CT) images are used for early diagnosis of lung cancer with the help of CAD system. Selection of effective feature set and proper classifier for medical images where machine learning techniques are used is a challenging task. Texture analysis of computed tomography (CT) images is one of the important prelimi...
BACKGROUND/PURPOSE Juvenile myoclonic epilepsy (JME) is the most frequent subsyndrome of the idiopathic generalized epilepsies, and experimental investigations support that the thalamus is a key structure in the mechanisms of JME. Texture analysis (TA) is an image processing technique which can be used to characterize images such as MRI. OBJECTIVE The goal of this work was to investigate the ...
Texture analysis is an important characteristic for automatic visual inspection for surface and object identification from medical images and other type of images. This paper presents an application of wavelet extension and Gray level cooccurrence matrix (GLCM) for diagnosis of myocardial infarction tissue from echocardiography images. Many of applications approach have provided good result in ...
INTRODUCTION This paper describes a method for automatic analysis of the choroid in OCT images of the eye fundus in ophthalmology. The problem of vascular lesions occurs e.g. in a large population of patients having diabetes or macular degeneration. Their correct diagnosis and quantitative assessment of the treatment progress are a critical part of the eye fundus diagnosis. MATERIAL AND METHO...
Low back pain becomes one of the significant problem in the industrialized world. Efficient and effective spinal motion analysis is required to understand low back pain and to aid the diagnosis. Videofluoroscopy provides a cost effective way for such analysis. However, common approaches are tedious and time consuming due to the low quality of the images. Physicians have to extract the vertebrae...
BACKGROUND Extracting features from the colonoscopic images is essential for getting the features, which characterizes the properties of the colon. The features are employed in the computer-assisted diagnosis of colonoscopic images to assist the physician in detecting the colon status. METHODS Endoscopic images contain rich texture and color information. Novel schemes are developed to extract...
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