Ophthalmology: Breakthroughs in Research and Practice

Ophthalmology: Breakthroughs in Research and Practice

Information Resources Management Association

Copyright: © 2018 |Pages: 337

ISBN13: 9781522551959|ISBN10: 1522551956|EISBN13: 9781522551966

DOI: 10.4018/978-1-5225-5195-9

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Management Association, Information Resources, editor. Ophthalmology: Breakthroughs in Research and Practice. IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5195-9

APA

Management Association, I. (Ed.). (2018). Ophthalmology: Breakthroughs in Research and Practice. IGI Global. https://doi.org/10.4018/978-1-5225-5195-9

Chicago

Management Association, Information Resources, ed. Ophthalmology: Breakthroughs in Research and Practice. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5195-9

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Advanced techniques in eye care has significantly influenced how diseases and conditions are treated and diagnosed. While many strides have been made, there is still continuous research in the ophthalmology field.

Ophthalmology: Breakthroughs in Research and Practice is an innovative reference source for the latest academic material on the identification, treatment, and management methodologies of eye diseases and disorders. Highlighting a range of topics, such as retinal prosthesis, ocular diseases, and ophthalmoscopy, this publication is ideally designed for researchers, graduate-level students, and professionals in the medical field.

Table of Contents

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Front Materials

Title Page

Copyright Page

Editorial Advisory Board

Preface

Chapters

Diagnostics and Imaging

Chapter 1

A Review of Vessel Segmentation Methodologies and Algorithms: Comprehensive Review (pages 1-17)

Gehad Hassan, Aboul Ella Hassanien

“Prevention is better than cure”, true statement which all of us neglect. One of the most reasons which cause speedy recovery from any diseases is to discover it in advanced stages. From here come the importance of computer systems...

Chapter 2

Automatic Detection of Blood Vessel in Retinal Images Using Vesselness Enhancement Filter and Adaptive Thresholding (pages 18-33)

Abderrahmane Elbalaoui, Mohamed Fakir, Taifi khaddouj, Abdelkarim MERBOUHA

Retinal blood vessels detection and measurement of morphological attributes, such as length, width, sinuosity and corners are very much important for the diagnosis and treatment of different ocular diseases including diabetic...

Chapter 3

Bloodless Technique to Detect Diabetes using Soft Computational Tool (pages 34-52)

Puspalata Sah, Kandarpa Kumar Sarma

Detection of diabetes using bloodless technique is an important research issue in the area of machine learning and artificial intelligence (AI). Here we present the working of a system designed to detect the abnormality of the eye...

Chapter 4

Significant Enhancement of Segmentation Efficiency of Retinal Images Using Texture-Based Gabor Filter Approach Followed by Optimization Algorithm (pages 53-68)

Upendra Kumar

Considering Retinal image as textured image, its texture based segmentation is required to identify the presence of retinal diseases. This pre-processing is important in automatic detection system for recognizing the abnormality...

Chapter 5

Analogizing the Thinning Algorithm and Elicitation of Vascular Landmark in Retinal Images (pages 69-77)

Shiny Priyadarshini J., Gladis D.

The retinal tissue is composed of network of blood vessels forming a unique biometric pattern. Feature extraction in retinal blood vessel is becoming an emerging trend in the field of personal identification. Because of its unique...

Chapter 6

Principles of Binocular Stereoscopic Imaging (pages 78-97)

Geoff Ogram

The relation between visual perception and the recorded image is discussed in this chapter, emphasising the historical growth of the understanding of depth perception and its visual cues. The stereoscopic principle is explained in...

Chapter 7

Visual Perception from Object Scanning as Revealed by Electrooculography (pages 98-114)

Anwesha Banerjee, Ankita Mazumder, Poulami Ghosh, D. N. Tibarewala

We the human beings are blessed by the nature to become well competent for performing highly precise and copious visual processes with how ever a restricted field of view. Howbeit, this process of visual perception is, to a great...

Chapter 8

Case Study: Resolving Diagnostic Uncertainties in the Clinical Presentation of Ocular Tuberculosis (pages 115-121)

Swarna Biseria Gupta, Divya Verma, D. P. Singh

In the developing countries, incidence of systemic tuberculosis is very high, with over 8 million new cases each year. The incidence of tuberculous uveitis is also rising correspondingly. It is difficult to diagnose ocular...

Chapter 9

A Comparative Study on Diabetic Retinopathy Detection Using Texture-Based Feature Extraction Techniques (pages 122-152)

Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Seyed Jalaleddin Mousavirad

Diabetic retinopathy is proved to be one of the most important eye disorders in recent decades that late diagnosis of it may cause low vision or even blindness. Specialist are able to detect retinopathy in retinal images using...

Chapter 10

A New EYENET Model for Diagnosis of Age-Related Macular Degeneration: Diagnosis of Age-Related Macular Degeneration (pages 153-171)

Priya Kandan, P. Aruna

Age-related macular degeneration is an eye disease, that gradually degrades the macula, a part of the retina, which is responsible for central vision. It occurs in one of the two types, DRY and WET age-related macular degeneration....

Chapter 11

A Reversible Data Hiding Scheme for Efficient Management of Tele-Ophthalmological Data (pages 172-188)

Abhilasha Singh, Malay Kishore Dutta

Advancements in medical sciences and induction of advanced technologies have led to increased role of medical images in tele-diagnosis. This paper proposes a technique for easy, efficient and accurate management of distributed...

Chapter 12

An Efficient and Lossless Cryptosystem for Security in Tele-Ophthalmology Applications Using Chaotic Theory (pages 189-210)

Garima Mehta, Malay Kishore Dutta, Pyung Soo Kim

Tele-ophthalmology has gained a lot of popularity as it involves retinal fundus images which can be analyzed for identification of severe diseases like diabetic retinopathy and glaucoma. With this increasing popularity, requirement...

Chapter 13

Case Study: Glaucoma and Epidemic Dropsy - A Past Possible Association Revisited (pages 211-216)

Swarna Biseria Gupta, Divya Verma, D. P. Singh

Epidemic dropsy is a multi-system disease involving the cardiovascular, hepatic, renal, ocular and other systems. Onset is usually subacute or insidious with watery diarrhea and vomiting. This lasts from a few days to more than a...

Chapter 14

Human Health Diagnosis System Based on Iris Features (pages 217-240)

Poonguzhali N, M. Ezhilarasan, R. Hariharan, N. Praveen Devaraajan

Iris feature has been used in authentication systems in many real time applications and is proved to provide high accuracy. Apart from authentication iris features can also be used for detecting pathological changes in human body and...

Chapter 15

An Approach for Automatic Detection and Grading of Macular Edema (pages 241-266)

Jyoti Prakash Medhi

Prolonged Diabetes causes massive destruction to the retina, known as Diabetic Retinopathy (DR) leading to blindness. The blindness due to DR may consequence from several factors such as Blood vessel (BV) leakage, new BV formation on...

Drug Delivery and Design

Chapter 16

Bioactive Compound Analysis of Coriandrum Sativum L Against Microbial Keratitis (pages 268-282)

V. Nithya

In recent years, multiple drug resistance has been developed due to indiscriminate use of existing drugs in the treatment of infectious diseases. One such herbal drug is Coriandrum Sativum L that possesses potential pharmaceutical...

Chapter 17

Nanotechnology for Omics-Based Ocular Drug Delivery (pages 283-298)

Anjali Hirani, Aditya Grover, Yong Woo Lee, Yashwant Pathak, Vijaykumar Sutariya

Millions of people suffer from ocular diseases that impair vision and can lead to blindness. Advances in genomics and proteomics have revealed a number of different molecular markers specific for different ocular diseases, thereby...

Visual Impairment

Chapter 18

Design Analytics of Complex Communication Systems Involving Two Different Sensory Disabilities (pages 300-316)

Gahangir Hossain

The design of a robust communication among two different sensory disabilities (Deaf vs. Blind) remains an emerging field of research in disability healthcare communication system design. As an important part of modern technology...

Chapter 19

Android-Based Visual Tag Detection for Visually Impaired Users: System Design and Testing (pages 317-334)

Hao Dong, Jieqi Kang, James Schafer, Aura Ganz

In this paper the authors introduce PERCEPT-V indoor navigation for the blind system. PERCEPT-V enhances PERCEPT system by enabling visually impaired users to navigate in open indoor spaces that differ in size and lighting...

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