Abstract
Glaucoma is a major threatening cause, in which it affects the optical nerve to lead to a permanent blindness to individuals. The major causes of Glaucoma are high pressure to eyes, family history, irregular sleeping habits, and so on. These kinds of causes lead to Glaucoma easily, and the effect of such disease leads to heavy damage to the internal optic nervous system and the affected person will get permanent blindness within few months. The major problem with this disease is that it is incurable; however, the affection stages can be reduced and the same level of effect as that for the long period can be maintained but this is possible only in the earlier stages of identification. This Glaucoma causes structural effect to the eye ball and it is complex to estimate the cause during regular diagnosis. In medical terms, the Cup to Disc Ratio (CDR) is minimized to the Glaucoma patients suddenly and leads to harmful damage to one's eye in severe manner. The general way to identify the Glaucoma is to take Optical Coherence Tomography (OCT) test, in which it captures the uncovered portion of eye ball (backside) and it is an efficient way to visualize diverse portions of eyes with optical nerve visibility shown clearly. The OCT images are mainly used to identify the diseases like Glaucoma with proper and robust accuracy levels. In this work, a new methodology is introduced to identify the Glaucoma in earlier stages, called Depth Optimized Machine Learning Strategy (DOMLS), in which it adapts the new optimization logic called Modified K-Means Optimization Logic (MkMOL) to provide best accuracy in results, and the proposed approach assures the accuracy level of more than 96.2% with least error rate of 0.002%. This paper focuses on the identification of early stage of Glaucoma and provides an efficient solution to people in case of effect by such disease using OCT images. The exact position pointed out is handled by using Region of Interest- (ROI-) based optical region selection, in which it is easy to point the optical cup (OC) and optical disc (OD). The proposed algorithm of DOMLS proves the accuracy levels in estimation of Glaucoma and the practical proofs are shown in the Result and Discussions section in a clear manner.
Highlights
Glaucoma is the calm killer of vision; it is caused due to intraocular eye pressure. e general cause of Glaucoma is reduced eye sight and slowly it leads to a permanent vision loss, in which it is considered to be the world’s second place eye vision loss perspective and blindness [1]. e analysis of World Health Organization reports that the number of people suffering from such disease in 2022 will reach nearly 80 million people
In order to notice the eye ball structure using Optical Coherence Tomography (OCT), pictures are procured by means of various methods counting, Ophthalmoscope is utilized for the immediate assessment of optical nerve system, and backhanded assessment is done by means of microscopy features [2]
Algorithm 4 illustrates the logical flow of proposed optimization process and the scenario indicates the dual optimization flow with respect to HSV constructed images, so that the enhanced form of K-means logic is manipulated over this approach. e structured form of HSV images is reconstructed based on best possible cluster region outcome and the local optimization features of such process will improve the quality of prediction in results. ese regions will be segmented by using segmentation principles. e classification model identifies those segmented Glaucoma image features, processes the matching optimized regions based on the training set, and produces the exact classification summary with respect to proposed approach of Depth Optimized Machine Learning Strategy (DOMLS)
Summary
Glaucoma is the calm killer of vision; it is caused due to intraocular eye pressure. e general cause of Glaucoma is reduced eye sight and slowly it leads to a permanent vision loss, in which it is considered to be the world’s second place eye vision loss perspective and blindness [1]. e analysis of World Health Organization reports that the number of people suffering from such disease in 2022 will reach nearly 80 million people. E Glaucoma can be classified into four different types: Open-Angle Glaucoma, Angle-Closure Glaucoma, Secondary Glaucoma, and Childhood Glaucoma All these types are harmful and cause severe damage to human eyes with respect to systematic causes and lead to permanent blind stages. The optical nerve becomes harmed despite the fact that one’s eye pressure is inside the ordinary reach, and nobody knows the specific purpose behind this.
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