Mohammed et al., 2017 - Google Patents
Review on Nasopharyngeal Carcinoma: Concepts, methods of analysis, segmentation, classification, prediction and impact: A review of the research literatureMohammed et al., 2017
- Document ID
- 12338648034755630853
- Author
- Mohammed M
- Abd Ghani M
- Hamed R
- Ibrahim D
- Publication year
- Publication venue
- Journal of Computational Science
External Links
Snippet
Abstract Context Nasopharyngeal Carcinoma (NPC) is the most famous type of tumor in the neck and started in the nasopharynx, the area at the top of the pharynx or “throat”, in which the participation of the relevant nose and tube sound including all upper respiratory tract …
- 206010061306 Nasopharyngeal cancer 0 title abstract description 336
Classifications
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- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
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- G06F19/321—Management of medical image data, e.g. communication or archiving systems such as picture archiving and communication systems [PACS] or related medical protocols such as digital imaging and communications in medicine protocol [DICOM]; Editing of medical image data, e.g. adding diagnosis information
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
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- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G—PHYSICS
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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