OPTIMIZATION OF FEATURE SELECTION AND CLASSIFICATION METHODS FOR AUTOMATED RETINAL IMAGE QUALITY ASSESSMENT BASED ON GLOBAL AND LOCALIZED IMAGE FEATURES
An automated retinal disease classification system requires fundus image quality with certain standards. Retinal fundus images are generally obtained from mass clinical screening processes where image acquisition is not always done by trained medical expert. Poor image quality can result in error...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/74783 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |