Medical image classification based on artificial intelligence approaches: A practical study on normal and abnormal confocal corneal images

Author:

Sharif M.S.,Qahwaji R.,Ipson S.,Brahma A.

Funder

NHS National Innovation Centre

University of Bradford

Publisher

Elsevier BV

Subject

Software

Reference65 articles.

1. SCQ, http://www.scq.ubc.ca/confocal-microscopy-a-visual-slice-of-the-cellular-world/August, 2004.

2. NIDEK Technologies Srl, Eye & Health Care. http://www.nidek technologies.it/ProductsCS4All.htm, 2014.

3. National Eye Institute, http://www.nei.nih., gov/health/cornealdisease/, 2014.

4. Automatic recognition of cell layers in corneal confocal microscopy images;Ruggeri;Comput. Methods Programs Biomed.,2002

5. In vivo three-dimensional reconstruction of the cornea from confocal microscopy images;Scarpa,2007

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