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Adaptive localization of focus point regions via random patch probabilistic density from whole-slide, Ki-67-stained brain tumor tissue.

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Title: Adaptive localization of focus point regions via random patch probabilistic density from whole-slide, Ki-67-stained brain tumor tissue.
Authors: Alomari YM; Pattern Recognition Research Group, Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia., Sheikh Abdullah SN; Pattern Recognition Research Group, Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia., MdZin RR; Department of Pathology, UKM Medical Center, Universiti Kebangsaan Malaysia, 56000 Cheras, Kuala Lumpur, Malaysia., Omar K; Pattern Recognition Research Group, Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia.
Source: Computational and mathematical methods in medicine [Comput Math Methods Med] 2015; Vol. 2015, pp. 673658. Date of Electronic Publication: 2015 Feb 22.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Hindawi Country of Publication: United States NLM ID: 101277751 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1748-6718 (Electronic) Linking ISSN: 1748670X NLM ISO Abbreviation: Comput Math Methods Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Alomari+YM%22">Alomari YM</searchLink>; Pattern Recognition Research Group, Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia.<br /><searchLink fieldCode="AU" term="%22Sheikh+Abdullah+SN%22">Sheikh Abdullah SN</searchLink>; Pattern Recognition Research Group, Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia.<br /><searchLink fieldCode="AU" term="%22MdZin+RR%22">MdZin RR</searchLink>; Department of Pathology, UKM Medical Center, Universiti Kebangsaan Malaysia, 56000 Cheras, Kuala Lumpur, Malaysia.<br /><searchLink fieldCode="AU" term="%22Omar+K%22">Omar K</searchLink>; Pattern Recognition Research Group, Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Hindawi%22">Hindawi </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101277751 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1748-6718 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221748670X%22">1748670X </searchLink><i>NLM ISO Abbreviation: </i>Comput Math Methods Med <i>Subsets: </i>MEDLINE
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        Value: 10.1155/2015/673658
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        Text: English
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