Automated Image Detection of Retinal Pathology (Record no. 213)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02526 a2200325 4500 |
| 001 - CONTROL NUMBER | |
| control field | 1138114499 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250317100352.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250312042017xx 59 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781138114494 |
| 037 ## - SOURCE OF ACQUISITION | |
| Source of stock number/acquisition | Taylor & Francis |
| Terms of availability | GBP 81.99 |
| Form of issue | BB |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | 01 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | T |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | MQW |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | MJQ |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | T |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | MQW |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | MJQ |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | MED009000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | MED085000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TEC059000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | 617.7350754 |
| Source | bisac |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Herbert Jelinek |
| 245 10 - TITLE STATEMENT | |
| Title | Automated Image Detection of Retinal Pathology |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Name of publisher, distributor, etc. | CRC Press |
| Date of publication, distribution, etc. | 20170912 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 394 p |
| 520 ## - SUMMARY, ETC. | |
| Expansion of summary note | Discusses the Effect of Automated Assessment Programs on Health Care Provision Diabetes is approaching pandemic numbers, and as an associated complication, diabetic retinopathy is also on the rise. Much about the computer-based diagnosis of this intricate illness has been discovered and proven effective in research labs. But, unfortunately, many of these advances have subsequently failed during transition from the lab to the clinic. So what is the best way to diagnose and treat retinopathy? Automated Image Detection of Retinal Pathology discusses the epidemiology of the disease, proper screening protocols, algorithm development, image processing, and feature analysis applied to the retina. Conveys the Need for Widely Implemented Risk-Reduction Programs Offering an array of informative examples, this book analyzes the use of automated computer techniques, such as pattern recognition, in analyzing retinal images and detecting diabetic retinopathy and its progression as well as other retinal-based diseases. It also addresses the benefits and challenges of automated health care in the field of ophthalmology. The book then details the increasing practice of telemedicine screening and other advanced applications including arteriolar-venous ratio, which has been shown to be an early indicator of cardiovascular, diabetes, and cerebrovascular risk. Although tremendous advances have been made in this complex field, there are still many questions that remain unanswered. This book is a valuable resource for researchers looking to take retinal pathology to that next level of discovery as well as for clinicians and primary health care professionals that aim to utilize automated diagnostics as part of their health care program. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Michael J. Cree |
| Relationship | A01 |
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