Computational analysis of the human eye with applications Sumeet Dua, Rajendra Acharya U, E Y K Ng, editors.
Editor: Singapore ; Hackensack, NJ : World Scientific, c2011Descripción: 1 online resource (vii, 458 pages) : illustrationsTipo de contenido:- text
- computer
- online resource
- 9789814340304 (electronic bk.)
- 9814340308 (electronic bk.)
- 617.700285 22
- RE73 .C65 2011
| Imagen de cubierta | Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Ubicación en estantería | Signatura topográfica | Materiales especificados | Info Vol | URL | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | Prioridad de la cola de reserva de ejemplar | Reservas para cursos | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Libro electrónico | Biblioteca de Mayagüez Acceso en línea | RE73 .C65 2011 (Navegar estantería(Abre debajo)) | Ebook c. 1 | Disponible | 50000003284352 | |||||||||||||
| Libro electrónico | Biblioteca Encarnación Valdés Acceso en línea | 617.700285 (Navegar estantería(Abre debajo)) | Disponible | ocn754773639 |
Descripciones mejoradas de Syndetics:
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 focus on core applications, will appeal to students and practitioners in the field.
Includes bibliographical references and index.
Chapter 1. The Biological and Computational Bases of Vision Hilary W. Thompson -- Chapter 2. Computational Methods for Feature Detection in Optical Images Michael Dessauer and Sumeet Dua -- Chapter 3. Computational Decision Support Systems and Diagnostic Tools in Ophthalmology: A Schematic Survey Sumeet Dua and Mohit Jain -- Chapter 4. Hyperspectral Image Analysis for Oxygen Saturation Automated Localization of the Eye Bahram Khoobehi and James M. Beach -- Chapter 5. Automated Localization of Eye and Cornea Using Snake and Target-Tracing Function Jen-Hong Tan, Ng, E.Y.K., Rajendra Acharya, U. and Chee, C. -- Chapter 6. Automatic Diagnosis of Glaucoma Using Digital Fundus Images Rajendra Acharya, U., Oliver Faust, Zhu Kuanyi,Tan Mei Xiu Irene, BooMaggie, Sumeet Dua, Tan Jen Hong and Ng, E.Y.K. -- Chapter 7. Temperature Distribution Inside the Human Eye with Tumor Growth Ooi, E.H. and Ng, E.Y.K. -- Chapter 8. The Study of Ocular Surface Temperature by Infrared Thermography: The Principles, Methodologies, and Applications Jen-Hong Tan, Ng, E.Y.K., Rajendra Acharya, U. and Chee, C. -- Chapter 9. Automated Microaneurysm Detection in Fluorescein Angiograms for Diabetic Retinopathy Prerna Sethi and Hilary W. Thompson -- Chapter 10. Computer-Aided Diagnosis of Diabetic Retinopathy Stages Using Digital Fundus Images Rajendra Acharya, U., Oliver Faust, Sumeet Dua, Seah Jia Hong, Tan Swee Yang, Pui San Lai and Kityee Choo -- Chapter 11. Reliable Transmission of Retinal Fundus Images with Patient Information Using Encryption,Watermarking, and Error Control Codes Myagmarbayar Nergui, Sripati Acharya, U., Rajendra Acharya, U., Wenwei Yu and Sumeet Dua -- Chapter 12. Temperature Changes Inside the Human Eye During LTKP Ooi, E.H. and Ng, E.Y.K. -- Chapter 13. Optical Eye Modeling and Applications Ying-Ling Chen, Bo Tan, Lei Shi, Lewis, J.W.L. and Ming Wang -- Chapter 14. Automating the Diagnosis, Stratification, and Management of Diabetic Retinopathy Using Content-Based Image Retrieval in an Ocular Telehealth Network Thomas P. Karnowski, Luca Giancardo, Deniz Aykac, Kenneth W. Tobin, Yaqin Li, Seema Garg, Mi. -- Index.
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 focus on core applications, will appeal to students and practitioners in the field.
Description based on print version record.