Knowledge discovery in biological data sets using a hybrid Bayes classifier/evolutionary algorithm

ML Raymer, LA Kuhn, WF Punch - Proceedings 2nd Annual …, 2001 - ieeexplore.ieee.org
A key element of bioinformatics research is the extraction of meaningful information from
large experimental data sets. Various approaches, including statistical and graph theoretical …

A 3D image quality assessment method based on vector information and SVD of quaternion matrix under cloud computing environment

X Liu, L Zhang, K Lu - IEEE Transactions on Cloud Computing, 2015 - ieeexplore.ieee.org
With the increasing demands of end-users to the visual perception in three-dimension (3D)
image, quality assessment for 3D imageis dominantly required as the feedback information …

Remote collaboration, decision support, and on-demand medical image analysis for acute stroke care

RS Barros, J Borst, S Kleynenberg, C Badr… - Service Oriented and …, 2015 - Springer
Acute stroke is the leading cause of disabilities and the fourth cause of death worldwide. The
treatment of stroke patients often requires fast collaboration between medical experts and …

Extending XNAT towards a cloud-based quality assessment platform for retinal optical coherence tomographies

J Wu, C Jansen, M Beier, M Witt… - 2014 14th IEEE/ACM …, 2014 - ieeexplore.ieee.org
Neurosciencific research is increasingly based on image analysis methods. Large sets of
imaging data are processed using complex image analysis tools. While today magnetic …

Distributed medical image retrieval techniques: A review

AFA Elkariem, MB Bashir, TH Ahmed… - … Sudan Conference on …, 2017 - ieeexplore.ieee.org
Medical image retrieval is a core process of illness diagnosis and treatment procedure in
healthcare area today. The new medical image scanner produces a large number of images …

Data aware distributed storage (das) for performance improvement across a hadoop commodity cluster

R Phani Bhushan, D Somayajulu… - Advances in Decision …, 2020 - Springer
Big Data is the order of the day and has found in-roads into many areas of working other
than just the internet, which has been the breeding ground for this technology. The Remote …

Towards a secure access to patient data in cloud computing environments

S Aminzou, B Er-Raha, YI Khamlichi… - … Security Days (JNS3 …, 2013 - ieeexplore.ieee.org
In the modern health service, data are stored in a Data Center and it can be accessed only
by authorized users. However, this Data are prone to be exposed to a number of attacks …

Department of Computer Science, Sri. S. Ramasamy Naidu Memorial College, Sattur, Tamilnadu, India srnmcrajesh@ gmail. com

A Rajeshkanna, V Preetha… - Advances in Decision …, 2019 - books.google.com
Data mining has many classification algorithms with desired features. The machine learning
algorithms such as K Nearest Neighbor, Support Vector Machines and Neural Network are …

[PDF][PDF] AFRICA BUILD

B Data - gib.fi.upm.es
The objective of our EC-funded DICODE project is to facilitate and augment collaboration
and decision making support in dataintensive and cognitively-complex disparate research …

Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy Cloud Computing Framework

C Tsirmpas, K Giokas, D Iliopoulou… - International Journal of …, 2012 - igi-global.com
Abstract Magnetic Resonance Imaging (MRI) and Magnetic Resonance Spectroscopy
(MRS) are two non-invasive techniques that are increasingly being used to identify and …