Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/1723
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Liu, X | - |
dc.contributor.author | Cheng, G | - |
dc.contributor.author | Wu, J | - |
dc.date.accessioned | 2008-02-28T11:51:15Z | - |
dc.date.available | 2008-02-28T11:51:15Z | - |
dc.date.issued | 1998 | - |
dc.identifier.citation | IEEE Intelligent Systems, 13(5): 28-35, Sept 1998 | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/1723 | - |
dc.description.abstract | A software-based visual-field testing (perimetry) system is described which incorporates several AI components, including machine learning, an intelligent user interface and pattern discovery. This system has been successfully used for self-screening in several different public environments | en |
dc.format.extent | 1380508 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | IEEE | en |
dc.subject | Eye | en |
dc.subject | Health care | - |
dc.subject | Learning (artificial intelligence) | - |
dc.subject | Medical diagnostic computing | - |
dc.subject | Medical expert systems | - |
dc.subject | Pattern recognition | - |
dc.subject | Testing | - |
dc.subject | User interfaces | - |
dc.subject | Vision defects | - |
dc.title | AI for public health: Self-screening for eye diseases | en |
dc.type | Research Paper | en |
dc.identifier.doi | http://dx.doi.org/10.1109/5254.722349 | - |
Appears in Collections: | Computer Science Dept of Computer Science Research Papers |
Files in This Item:
File | Description | Size | Format | |
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00722349.pdf | 1.35 MB | Adobe PDF | View/Open |
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