By a News Reporter-Staff News Editor at Telemedicine Business Week -- Researchers detail new data in Health and Medicine - Medical Imaging. According to news reporting originating from Charlotte, North Carolina, by NewsRx correspondents, research stated, “Over the past decades, medical image analytics was greatly facilitated by the explosion of digital imaging techniques, where huge amounts of medical images were produced with ever-increasing quality and diversity. However, conventional methods for analyzing medical images have achieved limited success, as they are not capable to tackle the huge amount of image data.”
Financial support for this research came from National Science Foundation.
Our news editors obtained a quote from the research from the University of North Carolina, “In this paper, we review state-of-the-art approaches for large-scale medical image analysis, which are mainly based on recent advances in computer vision, machine learning and information retrieval. Specifically, we first present the general pipeline of large-scale retrieval, summarize the challenges/opportunities of medical image analytics on a large-scale. Then, we provide a comprehensive review of algorithms and techniques relevant to major processes in the pipeline, including feature representation, feature indexing, searching, etc. On the basis of existing work, we introduce the evaluation protocols and multiple applications of large-scale medical image retrieval, with a variety of exploratory and diagnostic scenarios.”
According to the news editors, the research concluded: “Finally, we discuss future directions of large-scale retrieval, which can further improve the performance of medical image analysis.”
For more information on this research see: Large-scale retrieval for medical image analytics: A comprehensive review. Medical Image Analysis , 2018;43():66-84. Medical Image Analysis can be contacted at: Elsevier Science Bv, PO Box 211, 1000 Ae Amsterdam, Netherlands. (Elsevier - www.elsevier.com; Medical Image Analysis - http://www.journals.elsevier.com/medical-image-analysis/)
The news editors report that additional information may be obtained by contacting S.T. Zhang, Univ North Carolina Charlotte, Dept. of Comp Sci, Charlotte, NC 28223, United States. Additional authors for this research include X.F. Zhang, H. Muller and Z.Y. Li.
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.media.2017.09.007. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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CITATION: (2018-01-17), Findings on Medical Imaging Detailed by Investigators at University of North Carolina (Large-scale retrieval for medical image analytics: A comprehensive review), Telemedicine Business Week, 17, ISSN: 1553-3433, BUTTER® ID: 014979630
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