Showing 781–792 of 3871 results
Automatic Backup Application for Organization Abstract?Abstract This System is designed for the purpose of backup for an organization.This project is mainly used to secure the important database of the particular Organization. In first to select the backup files and enter the backup path after complete the process to select any schedule types like Daily, Weekly,…
Automatic Brain Hemorrhage Segmentation and Classification in CTscan Images Abstract? Brain hemorrhage detection and classification is a major help to physicians to rescue patients in an early stage. We have tried to introduce an automatic detection and classification method to improve and accelerate the process of physicians? decision-making. To achieve this purpose, at first we…
Automatic Brain Tumor Tissue Detection based on Hierarchical Centroid Shape Descriptor in T1-weighted MR images Abstract? The brain tumor tissue detection allows to localize a mass of abnormal cells in a slice of Magnetic Resonance (MR). The automatization of this process is useful for post processing of the extracted region of interest like the tumor…
Automatic Brain Tumor Tissue Detection based on Hierarchical Centroid Shape Descriptor in T1-weighted MR images Abstract? The brain tumor tissue detection allows to localize a mass of abnormal cells in a slice of Magnetic Resonance (MR). The automatization of this process is useful for post processing of the extracted region of interest like the tumor…
Automatic Change Analysis in Satellite Images Using Binary Descriptors and Lloyd?Max Quantization Abstract? Automatic Change Analysis in Satellite Images Using Binary Descriptors and Lloyd?Max Quantization. A novel technique for un-supervised change analysis that leads to a method of ranking the changes that occur between two satellite images acquired at dif-ferent moments of time. The proposed…
Automatic Detection and Measurement of Structuresin Fetal Head Ultrasound Volumes Using SequentialEstimation and Integrated Detection Network (IDN) Abstract? Automatic Detection and Measurement of Structuresin Fetal Head Ultrasound Volumes Using SequentialEstimation and Integrated Detection Network. Routine ultrasound exam in the second and third trimesters of pregnancy involves manually measuring fetal head and brain structures in 2-D…
Automatic Detection and Segmentation of Crohn?s Disease Tissues From Abdominal MRI Abstract?We propose an information processing pipeline for segmenting parts of the bowel in abdominal magnetic resonance images that are affected with Crohn’s disease. Given a magnetic resonance imaging test volume, it is first oversegmented into supervoxels and each supervoxel is analyzed to detect…
Automatic detection of abnormalities in mammograms Abstract? In recent years, an increased interest has been seen in the area of medical image processing and, as a consequence, omputer Aided Diagnostic (CAD) systems. The basic purpose of CAD systems is to assist doctors in the process of diagnosis. CAD systems, however, are quite expensive, especially, in…
Automatic Detection of Blood Vessels in Digital Retinal Images using Soft Computing Technique Abstract-Insulin-dependent mortals (humans) are attributed by blemished (defective) metabolism of glycogen (glucose) that leads to long lasting dysfunction and damage of an organ. The most prosaic (common) obstacle (complication) of diabetes is Diabetic Retinopathy, which is one of the predominant (primary) root…
Automatic Detection of Exudates in Diabetic Retinopathy Images Abstract? According to the increasing consumption of sugar materials in human life and growing trend of the machine life, the prevalence of diabetes is on the rise. It is observed all patients with this disease mostly suffer from decrease or loss their vision. For the automatic…
Automatic Detection of Exudates in Diabetic Retinopathy Images Abstract-Automatic Detection of Exudates in Diabetic Retinopathy Images. Ophthalmologists analyze fundus images of eye extensively as a non invasive diagnosis tool for various internal eye defects. Diabetic retinopathy is an eye complication specially seen in diabetic patients, causing damage to retina which may lead to blindness. The…
Automatic Detection of Exudates in Digital Color Fundus Images Using Superpixel Multi-Feature Classification Abstract-Exudates can be regarded as one of the most prevalent clinical signs of diabetic retinopathy, and the detection of exudates has important clinical significance in diabetic retinopathy diagnosis. In this paper, a novel approach named superpixel multi-feature classification for the automatic detection…
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