نتایج جستجو برای: computeraided diagnosis texture analysis
تعداد نتایج: 3234260 فیلتر نتایج به سال:
Texture is one of the important characteristics used in identifying objects. Texture analysis plays an important role in image analysis and pattern recognition. In this paper a new set of features obtained from the 1-D MRT is shown to be useful for texture analysis. Experiments performed on 30 samples of Brodatz texture images indicate that these features can be used for texture classification.
BACKGROUND Classification of breast ultrasound (BUS) images is an important step in the computer-aided diagnosis (CAD) system for breast cancer. In this paper, a novel phase-based texture descriptor is proposed for efficient and robust classifiers to discriminate benign and malignant tumors in BUS images. METHOD The proposed descriptor, namely the phased congruency-based binary pattern (PCBP)...
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...
1. student research committee, urmia university of medical sciences, urmia, iran 2. dept. of medical physics, faculty of medicine, urmia university of medical sciences, urmia, iran 3. dept. of radiology, faculty of medicine, imam khomeini hospital, urmia university of medical sciences, urmia, iran corresponding author: akbar gharbali, phd; assistant professor of medi...
-Texture analysis is significant field in image processing and computer vision. Shape and texture has groovy correlation and texture can be defined by shape descriptor. Three individual approach Zernike moment, which is orthogonal shape signifier, Gabor features and Haralick features are utilized for texture analysis. Another approach is applied by aggregating all the features for texture analy...
This article reports a study on applying texture analysis methods for classifying the different rotator cuff disease groups which are normal, tendon inflammation, calcific tendonitis and rotator cuff tear by using ultrasonic images. In conventional diagnosis, physicians observe the micro/macro structures of ultrasonic tendon images to judge the severity of rotator cuff disease. The accuracy of ...
The automated extraction of the airway tree from 3-D chest CT data can greatly reduce the workload of physicians during diagnosis (e.g. quantification of airway morphology) and treatment (computeraided bronchoscopy) of lung disease. This paper presents a method to automatically extract the airways driven by a sharpening filter, which enhances the branch edges in the input image based on the Lap...
Bronchoscopy inspection as a follow-up procedure from the radiological imaging plays a key role in lung disease diagnosis and determining treatment plans for the patients. Doctors needs to make a decision whether to biopsy the patients timely when performing bronchoscopy. However, the doctors also needs to be very selective with biopsies as biopsies may cause uncontrollable bleeding of the lung...
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