Abstract:
The purpose of this project is to promote the development of AI that is for medical
purposes in the field of image analysis for retinal images. Furthermore, the purpose to
make this FYP is to make the identification ofocular diseases a quicker process, ocular
data is often of large amount and this makes it difficult for human experts to identify
which ocular disease it is, thus, the ODIR system would be in place to make it
convenient to identify which ocular diseases, if any, a person has at that moment.
Another purpose ofthis FYP is making identification of the disease at its earliest so
that the condition of the person does not become serious before the disease can be
identified and in this way, the diagnosis for the disease would come sooner. Image
cropping and resizing operations are techniques as well as othersfor image processing,
these could aid in the pre-processing of the fundus image and then CNN or any other
machine learning classifier can be used forthe classification ofthe images. The Ocular
Disease are determined and diagnosed for the patient. The aims ofthis project are to
promote the development of medical AI and to find innovators and people that are in
the development ofmedical AI product in the field ofretinal image analysis.
