Book chapter
Automating the Diagnosis, Stratification, and Management of Diabetic Retinopathy Using Content-Based Image Retrieval in an Ocular Telehealth Network
Computational analysis of the human eye with applications, pp.417-453
World Scientific
2011
DOI: 10.1142/9789814340304_0014
Abstract
Advances in semi-automated high-throughput image data collection routines, coupled with a decline in storage costs and an increase in high-performance computing solutions have led to an exponential surge in data collected by biomedical scientists and medical practitioners. Interpreting this raw data is a challenging task, and nowhere is this more evident than in the field of opthalmology. The sheer speed at which data on cataracts, diabetic retinopathy, glaucoma and other eye disorders are collected, makes it impossible for the human observer to directly monitor subtle, yet critical details. This book is a novel and well-timed endeavor to present, in an amalgamated format, computational image modeling methods as applied to various extrinsic scientific problems in ophthalmology. It is self-contained and presents a highly comprehensive array of image modeling algorithms and methodologies relevant to ophthalmologic problems. The book is the first of its kind, bringing eye imaging and multi-dimensional hyperspectral imaging and data fusion of the human eye, into focus. The editors are at the top of their fields and bring a strong multidisciplinary synergy to this visionary volume. Their "inverted-pyramid" approach in presenting the content and their focus on core applications will appeal to students and practitioners in the field.
Details
- Title: Subtitle
- Automating the Diagnosis, Stratification, and Management of Diabetic Retinopathy Using Content-Based Image Retrieval in an Ocular Telehealth Network
- Creators
- Thomas P KarnowskiLuca GiancardoDeniz Aykac - University of IowaKenneth W Tobin - Oak Ridge National LaboratoryYaqin Li - University of Tennessee Health Science CenterSeema GargMichael D Abràmoff - University of Iowa, Ophthalmology and Visual SciencesMatthew T TennantEdward Chaum
- Resource Type
- Book chapter
- Publication Details
- Computational analysis of the human eye with applications, pp.417-453
- Publisher
- World Scientific; Hackensack, NJ; Singapore
- DOI
- 10.1142/9789814340304_0014
- Number of pages
- 1 online resource (vii, 458 pages)
- Language
- English
- Date published
- 2011
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Fraternal Order of Eagles Diabetes Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984240438202771
Metrics
14 Record Views