Sfoglia per Soggetto "Imaging systems"
Items 1-14 di 14
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An automatic multi-agent web image and associated keywords retrieval system
(2009)Web-based image search engines and CBIR techniques are blind to the actual content. As a result querying for a specific object is often cluttered with irrelevant data, leading to low precision. Furthermore recall rates are ... -
Classification of pathological human brain lesions using magnetic resonance spectroscopy at 3T
(2009)Magnetic Resonance Spectroscopy is a powerful non-invasive diagnostic tool that is used in conjunction with MRI techniques to provide identification and quantification of biologically important compounds in soft tissue. ... -
Dose calculation optimization in intracranial stereotactic radiotherapy using implicit surface modeling
(2009)Intracranial Stereotactic radiotherapy / radiosurgery utilize fractioned dose delivery through multiple noncoplanar arcs to avoid harm of normal tissue. Proper positioning of the arcs in respect to avoid Organs at Risk ... -
Enabling distributed summarization of wireless capsule endoscopy video
(2010)The introduction of distributed or parallel medical video processing is a constant growing need, because despite the large increase of modern workstations computational power, the amount of data in medical videos is growing ... -
Joint quantizer optimization for scalable coding
(2010)Scalability is an attractive solution to the problems posed by modern multimedia transmission systems. The key for better performance in scalable coding is joint rate distortion optimization. We present a new stochastic ... -
Local curvature analysis for differentiating Glioblastoma multiforme from solitary metastasis
(2016)Ambiguous imaging appearance of Glioblastoma multiforme (GBM) and solitary metastasis (MET) is a challenge to conventional Magnetic Resonance Imaging (MRI) based diagnosis. In this study, a local curvature analysis scheme ... -
An open web services - Based framework for data mining of biomedical image data
(2009)Mining of biomedical image data is a complex procedure that requires several processing phases, such as data acquisition, preprocessing (e.g., image enhancement, color processing), feature extraction and classification. ... -
Optimal distributed kalman and lainiotis filters: Optimal uniform distribution of measurements into local processors
(2009)A method to implement the optimal distributed Kalman and Lainiotis filters is proposed. The method is based on the a-priori determination of the optimal uniform distribution of the measurements into parallel processors, ... -
Real time measurements for quality control of industrial rod manufacturing
(2016)This work proposes a fully automated approach for vision-based quality control of manufactured metal rods. The proposed approach is able to detect the features of the rod (holes) and calculate the curvature of the object ... -
Riccati equation solution method for the computation of the extreme solutions of X + A* X-1 A = Q and X - A* X-1 A = Q
(2009)Algebraic and recursive methods for computing the extreme solutions of the matrix equations X + A* X-1 A = Q and X - A* X -1 A = Q are presented in this paper. The proposed algorithms are based on the solution of the ... -
Robotic validation of visual odometry for wireless capsule endoscopy
(2016)Wireless capsule endoscopy (WCE) is the prime diagnostic modality for the small-bowel. It consists in a swallowable color camera that enables the visual detection and assessment of abnormalities, without patient discomfort. ... -
Shape reconstruction using fisheye and projective cameras
(2016)Reconstructing shape from silhouettes is an interesting topic in computer vision. In the case of projective (pinhole) cameras, this task has been solved with several variations. The increasing use of omnidirectional cameras, ... -
Towards the mathematic formalization of parametric generalized cylinders and initial results in modeling 3D image data
(2009)Generalized cylinders (GCs) have been proposed in computer vision for object modeling in two dimensional images. However approaches so far have not investigated closed form solutions, based on a formal generic definition ... -
Weakly-supervised Convolutional learning for detection of inflammatory gastrointestinal lesions
(2016)Graphic image annotations provide the necessary ground truth information for supervised machine learning in image-based computer-aided medical diagnosis. Performing such annotations is usually a time-consuming and ...