Computer Aided Diagnosis of Diabetic Retinopathy | Texture Features Analysis of Fundus Images for Automatic Detection of Early Diabetic Retinopathy Lesions

Muhammad Nadeem Ashraf (u. a.)

ISBN 10: 3659772097 / ISBN 13: 9783659772092

Published by LAP LAMBERT Academic Publishing, 2015

About this Item

Computer Aided Diagnosis of Diabetic Retinopathy | Texture Features Analysis of Fundus Images for Automatic Detection of Early Diabetic Retinopathy Lesions | Muhammad Nadeem Ashraf (u. a.) | Taschenbuch | 188 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659772092 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 104200021

Bibliographic Details

• Title: Computer Aided Diagnosis of Diabetic Retinopathy | Texture Features Analysis of Fundus Images for Automatic Detection of Early Diabetic Retinopathy Lesions
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2015
• Language: English
• ISBN 10: 3659772097
• ISBN 13: 9783659772092
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 12D millimeters 220 millimeters width by 150 millimeters height by 12 millimeters depth
• Weight: 298 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Diabetic Retinopathy (DR) is vision threatening problem in diabetic patients and patient may suffers from complete blindness if untreated. Hemorrhages and Microaneurysms (HMAs) are the early signs that appear in retina at initial stages of DR. Early diagnosis of both Hemorrhages and Microaneurysms (HMAs) is crucial to prevent blindness. Continuous increase of diabetic cases in all over the world including Pakistan is limiting the typical manual screening capabilities. There is an urgent need of a robust automatic computer aided diagnosis (CAD) system using digital fundus images for the screening and monitoring of various types of DR to save many sight years of diabetic patients. Automatic detection of DR, especially detection of its early signs (HMAs), is still an open issue. Research work, described in this Book, is focusing on the analysis of various texture features of Region of Interests (ROIs) for the detection of HMAs using state-of-the-art texture descriptors Local Binary Pattern (LBP), which are independent of uneven illumination present in fundus images. This book would be helpful for the students & researchers working in the fields of medical and digital image processing.

About the Author

Muhammad Nadeem Ashraf is perusing for his Ph.D. degree in Computer Science in the field of Medical Imaging. He has also earned MS and M.Sc. Computer Science along with M.Sc.Physics Degrees with distinctions.