Online ISSN: 2515-8260

Keywords : glaucoma


PREDICTION OF GLAUCOMA DISEASE USING DEEP LEARNING TECHNIQUES

J. Josphin Mary; R. Charanya; V. Shanthi; G. Sridevi

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 9, Pages 1447-1453
DOI: 10.31838/ejmcm.07.09.154

Glaucoma is a persistent, permanent eye disease that contributes to vision and quality of life loss. Within this paper we build a deep learning system for the automatic diagnosis of glaucoma with a Convolutionary neural network. Deep learning algorithms, such as CNNs, that infer a hierarchical representation of images to differentiate between glaucoma and NG trends of diagnostic decisions. The DL architecture proposed contains six learning strategies: four Convolutionary strata and two entirely linked layers. Strategies for drop-out and data rise were implemented to further enhance the treatment of glaucoma. Extensive validation of ORIGA and SCES databases is carried out. The findings show that the recipient's operating curve field under curve (AUC) is significantly higher than the state of the art algorithms in glaucoma identification at 0,831 and 0,887 in the two databases. The method may be used for the detection of glaucoma.

Role of Polyphenolic Compounds in Management of Oxidative Stress Associated With Glaucoma

Chandrashekhar Mahadeo Chakole; Meenakshi Kanwar Chauhan

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 9, Pages 2064-2084

Glaucoma is a first rank common cause of irreversible vision loss. It is also
recognized as a neurodegenerative disease which progress with age, results in optic
neuropathy. The exact cause of glaucoma remains unclear although oxidative stress
considered as one of the reasons for cell death in the retinal ganglion cell and retinal
pigment epithelium. Oxidative stress could result after imbalance between formation and
utilization of reactive oxygen species. Current pharmacotherapy of glaucoma includes
lowering down of elevated level of IOP, which is not sufficient enough to retard
irreversible vision loss in some instances. Hence, alternative neuroprotective therapy is
warranted. Polyphenolic compounds possess antioxidant, anti-inflammatory properties and
also show the neuroprotective effect in an experimental model. Amongst the natural
polyphenolic compounds resveratrol, curcumin, rutin, quercetin, myricetin have been
studied and showed potential as neuroprotection against cell apoptosis. Moreover, the extra
supplement of a polyphenolic compound may also improve antioxidant status, which was
underestimated in glaucoma disorder. Despite the potential, the polyphenolic compounds
yet to explore for clinical use in ocular disorder. Hence it is an excellent opportunity for
the future researcher to transform these substances from lab to clinic as neuroprotectants
in glaucoma.

Automated Identification of Glaucoma from Fundus Images using Deep learning Techniques

Ajitha S; Dr. M V Judy; Dr. Meera N; Dr. Rohith N

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 2, Pages 5449-5458

Glaucoma has arisen as the one of the main sources of visual impairment. A typical technique for diagnosing glaucoma is through assessment optic nerve head by an experienced ophthalmologist. This methodology is arduous and burns-through a lot of time. Despite the fact that the analysis of this infection has not yet been discovered, the period of primary identification can preserve from the glaucoma. Subsequently, customary glaucoma screening is basic and suggested. The issue can be settled by applying machine learning techniques for glaucoma detection. We present an automated glaucoma screening framework using a pre-trained Alexnet model with SVM classifier to enhance the classification accuracy . In this study, we used three publicly available dataset as HRF, Origa and Drishti_GS1 dataset. The proposed model achieved the image classification accuracy of 91.21%. This study showed that using pre-trained CNN with SVM for glaucoma detection showed greater accuracy in automatic image classification than just CNN or SVM.

Meteopathogenic Mechanisms Of Development And Aspects Of Prevention Of Glaucoma Under The Conditions Of A Risk Continental Climate Of Uzbekistan

Ne’matjon S. Mamasoliev; B. M. Nazarov; Ziyadullo N. Mamasoliev

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 8, Pages 4209-4220

In recent years, there have been significant changes in the field of screening
diagnostics and glaucoma prevention. At the same time, the specificity of glaucoma
control, due to a number of regional reasons, needs corrections. In a prospective clinical
and meteorological study, 1112 cases of glaucoma were analyzed. A direct dependence of
the development of glaucoma on the level of fluctuations of the main meteorological
elements – atmospheric pressure, relative humidity of air, solar fusion and thermal regime
was noted. The scientific foundations have been created for the implementation of effective
methods of meteorological prevention off glaucoma in the sharply continental climate of
Uzbekistan.