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Clinical Ophthalmology: A Systematic Approach
TLDR
Ocular side-effects of systemic medication 21.1.Abstract:
1. Eyelids 2. Lacrimal Drainage System 3. Orbit 4. Dry Eye Disorders 5. Conjunctiva 6. Cornea 7. Corneal and Refractive Surgery 8. Episclera and Sclera 9. Lens 10. Glaucoma 11. Uveitis 12. Ocular Tumours 13. Retinal Vascular Disease 14. Acquired Macular Disorders 15. Hereditary Fundus Dystrophies 16. Retinal Detachment 17. Vitreous Opacities 18. Strabismus 19. Neuro-ophthalmology 20. Ocular side-effects of systemic medication 21. Trauma Indexread more
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Journal ArticleDOI
Etiology of carotid cavernous fistula in Japanese.
TL;DR: Spontaneous/low-flow carotid cavernous fistula is more prevalent than previously reported and the role of ophthalmologists is important because the majority of patients initially consult ophthalMologists, and the signs of low-flow CCF are subtle and may be overlooked.
Journal ArticleDOI
Retrospective ultrasound biomicroscopic analysis of single-piece sulcus-fixated acrylic intraocular lenses
Abhay R. Vasavada,Shetal M. Raj,Shrihari J. Karve,Viraj A. Vasavada,Vaishali Vasavada,Panagiotis Theoulakis +5 more
TL;DR: Implantation of both haptic and optic in the sulcus was not achieved in all eyes and the haptics and optics remained in close proximity to the posterior iris surface.
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Evaluation of macular abnormalities in Stargardt's disease using optical coherence tomography and scanning laser ophthalmoscope microperimetry.
Fatmire Berisha,Fatmire Berisha,Gilbert T. Feke,Shakhsanam Aliyeva,Koji Hirai,Norbert Pfeiffer,Tatsuo Hirose +6 more
TL;DR: OCT findings, particularly reduced foveomacular thickness and photoreceptor loss in the macular area may be useful in the diagnosis of Stargardt’s disease.
Journal ArticleDOI
Infectious corneal ulcers.
TL;DR: Evaluation of predisposing risk factors for corneal epithelial breaks aids in their diagnosis of bacterial ulcers, and clinical appearance of the infection has been shown to be an unreliable factor in determining the pathogen.
Journal ArticleDOI
Optimizing the trainable B-COSFIRE filter for retinal blood vessel segmentation.
TL;DR: This paper optimized the blood vessel segmentation, by extending the trainable B-COSFIRE filter via identification of more optimal parameters through analyzing thresholding parameters selection followed by application of background artifacts removal techniques.