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Jadhav, Rahul
- Segmentation of Bright Region of The Optic Disc for Eye Disease Prediction
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Authors
Affiliations
1 Department of Computer Science and Engineering, Walchand College of Engineering, IN
1 Department of Computer Science and Engineering, Walchand College of Engineering, IN
Source
ICTACT Journal on Image and Video Processing, Vol 8, No 3 (2018), Pagination: 1696-1707Abstract
Eye is a vital organ of vision of the human body. Eyes are used almost in every activity whether in reading, affect developmental learning, working and in other untold ways. But, the eye diseases like Cataracts, Macular degeneration, Retinopathy, Glaucoma etc. gradually influence on the eye and leads to blindness. For the early detection of symptoms of eye diseases the ophthalmologist uses the manual observation method. But, that is time consuming and error prone. In this paper, to save the time and reduce the probability of the error, eye disease prediction approach for Glaucoma is developed. For this eye disease prediction approach firstly, the continuous and non-continuous Blood Vessels are segmented using the Coye Filter Approach. Secondly, the bright region of the Optic Disc is segmented using the MRF and Compensation Factor Method. Finally, the channels intensities of the bright region of Optic Disc is compared with the range of channels intensity of the set of bright region of the healthy Retinal images for prediction of the Glaucoma affection. The range for each channel consist of the intensity value starts from minimum to maximum intensities from the set of healthy Retinal images. For this, the Retinal Fundus image is captured by digital Fundus camera with the field of view between 35o to 50o. The Coye Filter Approach, MRF and Compensation Factor Method is applied for the Diaretdb1 and DRIVE which successfully segment the Blood Vessels as well as Optic Disc and also the eye disease prediction approach is applied for the 10 Glaucoma images which correctly predict for the Glaucoma affection.Keywords
Retinal Fundus Image, Glaucoma, Optic Disc, Blood Vessels, Retinopathy.References
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- Study of Uric Acid and Lipid Profile in Type 2 Diabetes Mellitus Cases in Western Coastal Region of Vasai–Virar City Municipal Corporation, District-Palghar, Maharashtra, India
Abstract Views :215 |
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Authors
Affiliations
1 Zoology Research Laboratory, E.S.A. College of Science, Vasai Road – 401 202, Maharashtra, IN
2 Sai Darshan Pathology Laboratory, Virar (W) – 401 302, Maharashtra, IN
1 Zoology Research Laboratory, E.S.A. College of Science, Vasai Road – 401 202, Maharashtra, IN
2 Sai Darshan Pathology Laboratory, Virar (W) – 401 302, Maharashtra, IN
Source
Journal of Endocrinology and Reproduction, Vol 23, No 1 (2019), Pagination: 36–42Abstract
A population in the Western Coastal Region of Vasai-Virar City Municipal Corporation (VVCMC), Maharashtra, India, abounds with non- vegetarians. This study was conducted to analyze if non- vegetarian diet has the same effect on lipid profile and uric acid (UA) levels of T2DM patients of this locality as reported in internationally published data. Lipid profiles, blood sugar levels and UA in the normal controls were within the normal range. In the T2DM patients the values of cholesterol, HDL, LDL and UA were in normal range whereas the blood sugar and serum triglyceride levels were found to be elevated. The uric acid levels were lower in T2DM patients as compared to normal controls though it was in the normal range. The serum triglyceride levels were found to be on the higher side in T2DM as compared to normal controls.Keywords
Blood Glucose, Serum Uric Acid, Type 2 DM, Western Coastal Region.References
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