نتایج جستجو برای: medical computing
تعداد نتایج: 1003841 فیلتر نتایج به سال:
Received May10 th , 2013 Revised Jun 30 th , 2013 Accepted Jul 26 th , 2013 Cloud computing supports mobile and collaborative applications and services. Increased storage, high automation, flexibility, and reduced cost are a few advantages cloud computing offers. Using cloud computing can improve healthcare services delivery for patients. In this paper, the categories and service models of clou...
High-performance computing in medical science has led to important progress in the field of computer tomography. A fast calculation of various types of images is a precondition for statistical comparison of big sets of input data. With our current research we adapted parallel programs from PVM to CORBA. CORBA makes the integration into clinical environments much easier. In order to improve the ...
Volumetric change in glioblastoma multiforme (GBM) over time is a critical factor in treatment decisions. Typically, the tumor volume is computed on a slice-by-slice basis using MRI scans obtained at regular intervals. (3D)Slicer - a free platform for biomedical research - provides an alternative to this manual slice-by-slice segmentation process, which is significantly faster and requires less...
We discuss computing issues for data analysis and image reconstruction of PET-TOF medical scanner or other medical scanning devices producing large volumes of data. Service architecture based on the grid and cloud concepts for distributed processing is proposed and critically discussed.
In modern healthcare environments, there is a strong need to create an infrastructure that reduces time-consuming efforts and costly operations to obtain a patient’s complete medical record and uniformly integrates this heterogeneous collection of medical data to deliver it to the healthcare professionals. As a result, healthcare providers are more willing to shift their electronic medical reco...
This Thesis is developed along two main axis: The exploration of new computational solutions based on the novel paradigm of Lattice Computing. The application to medical image data in order to obtain new image processing methods, or computed aided diagnosis systems based on image biomarkers. The proposal of Lattice Computing encompasses all computational constructions involving the use of Latti...
Content-Based Image Retrieval (CBIR) has been one on the most vivid research areas in the field of computer vision over the last 10 years. Many programs and tools have been developed to formulate and execute queries based on the visual or audio content and to help browsing large multimedia repositories. Still, no general breakthrough has been achieved with respect to large varied databases with...
in this paper, a novel hybrid method based on learning algorithmof fuzzy neural network and newton-cotesmethods with positive coefficient for the solution of linear fredholm integro-differential equation of the second kindwith fuzzy initial value is presented. here neural network isconsidered as a part of large field called neural computing orsoft computing. we propose alearning algorithm from ...
Breast thermography is a promising medical imaging technique for the detection of breast cancer. However, providing robust and portable computer-aided diagnostic system remains tedious task. In this paper, based on developed implemented Raspberry Pi 4 using cloud computing services to provide power needed machine learning algorithms. Image processing techniques such as pre-processing segmentati...
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