Automated Fiducial Localization in CT Images Based on Surface Processing and Geometrical Prior Knowledge for Radiotherapy Applications Abstract? We propose a novel method for radio-opaque external marker localization in CT scans for infrared (IR) patient set-up in radiotherapy. Efforts were focused on the quantification of uncertainties in marker localization in the CT dataset as a…
Automated Localization of Cysts in Diabetic Macular Edema using Optical Coherence Tomography Images Abstract? A novel automated system that localizes cysts in optical coherence tomography (OCT) images of patients with diabetic macular edema (DME). First, in each image, six sub-retinal layers are detected using an iterative high-pass filtering approach.< Final Year Project > Next, significantly…
Automated Question Answering using Semantic Web Services Abstract? Question answering(QA) can vastly improve the quality and effectiveness of knowledge acquisition on the Web. Web search provides a list of documents targeted based on the keywords coined by the users; users need to investigate further the documents to obtain the very knowledge they wanted. QA can…
Automated Real-Time Detection of Potentially Suspicious Behavior in Public Transport Areas Abstract?Detection of suspicious activities in public transport areas using video surveillance has attracted an increasing level of attention. In general, automated offline video processing systems have been used for post-event analysis, such as forensics and riot investigations. However, very little has been achieved regarding…
Automated Student Performace Analysis Abstract? Automated Student Performace Analysis. With the increase of ubiquitous data all over the internet, intelligent classroom systems that integrate traditional learning techniques with modern e-learning tools have become quite popular and necessary today. Although a substantial amount of work has been done in the field of e-learning, specifically in automation…
Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images Abstract? Automated detection of blood vessel structures is becoming of crucial interest for better management of vascular disease. In this paper, we propose a new in?nite active contour model that uses hybrid region information of the image…
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 presence…
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 diagnosis…
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 Image Annotation using Multi SVM Abstract?Image annotation is usually formed as a multiclass classification problem. Traditional methods learn the co-occurrence of keywords and images while they ignore the correlation between keywords, which turned out to be one of the reasons causing poor experiment results.< Final Year Project > In this paper, we propose an…
