Towards cloud-based image-integrated similarity search in big data

The volume of data accumulated by institutions and individuals and containing valuable and even critical information grows steadily with time complicating timely access to this information. In particular, this concerns the domain of healthcare. One approach to leverage the increasing amounts of data is to use advanced similarity search and case retrieval-based solutions. In this paper, we share our experience with translation of a similarity search-based clinical decision support system Case Reasoner from a standalone desktop application into a mobile Web-based solution. In particular, translation of patient similarity visualization and of a Web-based medical imaging toolkit are considered.

[1]  Dorin Comaniciu,et al.  A Discriminative Distance Learning-Based CBIR Framework for Characterization of Indeterminate Liver Lesions , 2011, MCBR-CDS.

[2]  Jakob Wasza,et al.  Real-time RGB-D mapping and 3-D modeling on the GPU using the random ball cover data structure , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

[3]  Godfried T. Toussaint,et al.  The relative neighbourhood graph of a finite planar set , 1980, Pattern Recognit..

[4]  Jeffrey Heer,et al.  SpanningAspectRatioBank Easing FunctionS ArrayIn ColorIn Date Interpolator MatrixInterpola NumObjecPointI Rectang ISchedu Parallel Pause Scheduler Sequen Transition Transitioner Transiti Tween Co DelimGraphMLCon IData JSONCon DataField DataSc Dat DataSource Data DataUtil DirtySprite LineS RectSprite , 2011 .

[5]  Alexey Tsymbal,et al.  Neighborhood graph and learning discriminative distance functions for clinical decision support , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[6]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[7]  Johan Montagnat,et al.  Medical Image Content-Based Queries using the Grid , 2003 .

[8]  Oswald Campesato.  D3 Data-Driven Documents Pocket Primer , 2015 .

[9]  Yasin Abbasi-Yadkori,et al.  Fast Approximate Nearest-Neighbor Search with k-Nearest Neighbor Graph , 2011, IJCAI.

[10]  Tomer Hertz,et al.  Learning distance functions : algorithms and applications (למידת פונקציות מרחק.) , 2006 .

[11]  Ben Glocker,et al.  Neighbourhood Approximation Forests , 2012, MICCAI.

[12]  Alexey Tsymbal,et al.  Learning Discriminative Distance Functions for Case Retrieval and Decision Support , 2010, Trans. Case Based Reason..

[13]  Jeffrey Heer,et al.  prefuse: a toolkit for interactive information visualization , 2005, CHI.

[14]  Richard McClatchey,et al.  Gridifying Biomedical Applications in the Health-e-Child Project , 2009 .

[15]  Nassir Navab,et al.  Learning discriminative distance functions for valve retrieval and improved decision support in valvular heart disease , 2010, Medical Imaging.

[16]  Laurent Amsaleg,et al.  Terabyte-scale image similarity search: Experience and best practice , 2013, 2013 IEEE International Conference on Big Data.