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. |
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| 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 |
| ISSN: | 1748-6718 |
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| DOI: | 10.1155/2015/673658 |
