The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Medical diagnosis is one of the most important procedure in which image processing are usefully applied. In this paper, a pneumonia symptoms detection method based on cellular neural networks (CNNs) is proposed. The CNN design is characterized by a virtual template expansion obtained through a multistep operation. It is based on linear space invariant 3 × 3 templates. The proposed design is capable...
This study is a comparison between two image segmentation's methods; the first method is based on normal brain's tissue recognition then tumor extraction using thresholding method. The second method is classification based on EM segmentation which is used for both brain recognition and tumor extraction. The goal of these methods is to detect, segment, extract, classify and measure properties of the...
Ultrasound has shown a great potential for serving as an outcome measure for localized scleroderma. High spatial resolution of ultrasound will aid to evaluate Echogenicity, Vascularity index and tissue thickness of localized scleroderma. Echogenicity is higher when the ultrasound waves reflected are lesser in value from any particular body organ. Vascularity index can be defined as the differences...
Current lack of data for equine metacarpal bone mechanical properties hinders the design of plating systems for horses. Due to the difficulties of obtaining equine bones, as well as physical similarities found in deer bones, the goals of this study are to determine if deer (Odocoileus virginianus borealis) metacarpal bones are comparable to equine (Equus ferus caballus) third metacarpal bones and...
Medulloblastoma (MB) is the most common brain tumor in children. There are four distinct subtypes of MB, but patients with anaplastic/large cell have the worst prognosis. Since the morbidity is highly correlated with treatment for MB, the ability to distinguish aggressive (such as anaplastic/large cell) MB is crucial. We present a scheme that leverages quantitative image texture features (Haar, Haralick,...
We present an implemented method for automated quantification of neuronal beading. Beading is the “morphological hallmark” of axonal injury and is present in many neurological disease conditions as well. In vitro models of injury result in beading which has previously been difficult to quantify, and therefore difficult to use as a measurement of the degree of axonal injury. The beading program was...
Nowadays The research of electrophysiology signal has attracted much attention in clinical discipline. Original experiment record of electrophysiology is significant for further research, especially for the study of Channelopathy. It is difficult to repeat this experiment because of the special cases or the restrictions of the experimental equipment and the cost of experiment. Therefore, it is necessary...
Image segmentation is critical to image processing and pattern recognition. Basically, color image segmentation techniques are based on monochrome ones operating in different color spaces. A color image segmentation method in the RGB color space is reported in the paper, the image segmentation is used in the image about the disease spot and the normal spot of cucumber in the greenhouse, we determine...
In this paper 2D Otsu algorithm based on particle swarm optimization (PSO) is proposed to segment CT lung images. This method can extract pulmonary parenchyma from multisliced CT images, which is primary step to detect the pulmonary disease such as lung cancer, tumor, and mass cells. In the automated pulmonary disease diagnosis, image segmentation plays an important role and image analysis result...
This paper present the results of applying dark stretching technique to enhance and segment the Plasmodium Falciparum based on thick blood smear images. Image enhancement is the process to improve the quality (clarity) of images for human viewing. Removing blurring and noise, increasing contrast, and revealing details are examples of enhancement operations. Reducing the noise and blurring and increasing...
According to World Health Organization, Dengue is identified as one of the main pandemic viral disease in tropical and semi-tropical countries in the world. A lot of researches have divulged that the use of ovitraps has itself shown a simple and inexpensive alternative for monitoring and controlling Dengue vector, Aedes Aegypti, but generally the process of counting Dengue mosquito eggs in ovitraps...
We report the implementation of a fully on-chip, lensless, sub-pixel resolving optofluidic microscope (SROFM) based on the super resolution algorithm. The device utilizes microfluidic flow to deliver specimens directly across a complementary metal oxide semiconductor (CMOS) sensor to generate a sequence of low-resolution (LR) projection images, where resolution is limited by the sensor's pixel size...
Quantification of the extent of malaria parasite infection (parasitaemia) continues to rely on time-consuming manual microscopy of Giemsa-stained blood smears. We present an algorithm that counts red blood cells in thin blood smear images, the first step in the determination of malaria parasitaemia. Morphological methods and iterative thresholding are used for red blood cell segmentation, and boundary...
Pleural effusions are accumulations of fluid in the pleural space, usually associated with atelectasis of the adjacent lung. We have previously presented an automated method to measure the volume of pleural effusions on chest CT images. This paper presents an improved version of the same method, which adds 3D surface modeling and additional propagation of the segmentation in the inferior direction...
Fundus Fluorescein Angiography (FA) is a powerful tool for imaging and evaluating Diabetic Macular Edema (DME), where the fluorescein dye leaks and accumulates in the diseased areas. Currently, the assessment of FA images is qualitative and suffers from large inter-observer variability. A necessary step towards quantitative assessment of DME is automatic segmentation of fluorescein leakage. In this...
Automatic microscopy for screening of sputum smears for tuberculosis would reduce the reliance on technicians in heavily burdened laboratories in poorly-resourced countries. Autofocusing is a key component of automated microscopy. We investigate the use of wavelet-based image fusion for automatic focusing of sputum smear slides as a component of automated fluorescence microscopy to identify Mycobacterium...
Choroidal Neovascularization (CNV) is a severe retinal disease characterized by abnormal growth of blood vessels in the choroidal layer. Current diagnosis of CNV depends mainly on qualitative assessment of a temporal sequence of fundus fluorescein angiography images. Automated segmentation and identification of the CNV lesion types (either occult or classic) is required to reduce the inter-and intra-...
The current study presents an automatic algorithm for detection of myocardial infarction and ischemia using cardiac CT image data. The classification is based on probabilistic tissue modeling, where a pixel is classified according to its maximum a-posteriori probability (MAP) as belonging to a normal or abnormal tissue segment. The pixels are represented in a two-dimensional space, where the first...
Cardiac magnetic resonance imaging has proved its effectiveness to determine the patient-specific myocardial motion/functional information via the cine imaging and to detect myocardial infarction in the delayed enhanced MRI (DE-MRI). Standard cardiac MR protocols usually acquire these two sets of images across multiple acquisitions with varying imaging slice geometry, pixel spacing and different breath-holdings,...
Arterial spin labeling (ASL) allows non-invasive imaging and quantification of brain perfusion by magnetically labeling blood in the brain-feeding arteries. ASL has been used to study cerebrovascular diseases, brain tumors and neurodegenerative disorders as well as for functional imaging. The use of a perfusion template could be of great interest to study inter-subject regional variation of perfusion...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.