dc.contributor.advisor |
Alrefayah, Mousa |
|
dc.contributor.author |
Abu-Rayyan, Anwar |
|
dc.contributor.author |
Abu-Rayyan, Nour |
|
dc.contributor.author |
Sweiti, Remah |
|
dc.date.accessioned |
2018-03-08T20:35:41Z |
|
dc.date.accessioned |
2022-05-11T06:20:32Z |
|
dc.date.available |
2018-03-08T20:35:41Z |
|
dc.date.available |
2022-05-11T06:20:32Z |
|
dc.date.issued |
6/1/2014 |
|
dc.identifier.uri |
http://test.ppu.edu/handle/123456789/518 |
|
dc.description |
CD , Number of page 47 , تكنولوجيا المعلومات 1/2014 |
en_US |
dc.description.abstract |
Abstract:
A new method to detect the disease in the human body is proposed in this project.
Medical studies show that many diseases have indicators in the eye. Based on image
processing technology, the application can recognize objects in a given image of the eye,
and discover the features that we need to detect the disease, and excludes features that are not needed. Two diseases will be discovered using this application. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Palestine Polytechnic University , department of information technology |
en_US |
dc.subject |
diagnosis , system ,Eye , color-based , computer , aided |
en_US |
dc.title |
Eye color-based computer aided diagnosis system |
en_US |
dc.type |
Other |
en_US |