Detection Of Exudates For Diabetic Patients: Machine Learning in Health care domain

M., Iyapparaja/ P., Adnan Mohamed

ISBN 10: 6200484546 / ISBN 13: 9786200484543

Published by LAP LAMBERT Academic Publishing, 2019

About this Item

72 pages. 8.66x5.91x0.17 inches. In Stock.

Seller Inventory # zk6200484546

Bibliographic Details

• Title: Detection Of Exudates For Diabetic Patients: Machine Learning in Health care domain
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2019
• Language: English
• ISBN 10: 6200484546
• ISBN 13: 9786200484543
• Binding: Paperback
• Condition: Brand New
• Weight: 0.15 kilograms

About this title

Synopsis

Diabetes is a disease that occurs when your blood glucose, also called blood sugar, is too high. Blood glucose is your main source of energy and comes from the food you eat. Insulin, a hormone made by the pancreas, helps glucose from food get into your cells to be used for energy. Sometimes your body doesn’t make enough—or any—insulin or doesn’t use insulin well. Glucose then stays in your blood and doesn’t reach your cells. In order to overcome the issues with existing approaches, we propose the system to develop an image processing-based algorithm to extract the exudates from the images, by making sure all the above disadvantages are overcome. In order to identify the presence of exudates, fundus images are used. In our project, a novel algorithm will be developed by combining Image Processing and Machine Learning to detect exudates.