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Produktbild: Jelinek, H: Automated Image Detection of Retinal Pathology

Jelinek, H: Automated Image Detection of Retinal Pathology

Fr. 349.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

21.08.2009

Abbildungen

There is a 16-page color insert containing 22 figures 21 Tables, black and white 22 Illustrations, color 37 Illustrations, black and white

Verlag

Taylor & Francis

Seitenzahl

393

Maße (L/B/H)

23.8/15.9/2.9 cm

Gewicht

657 g

Sprache

Englisch

ISBN

978-0-8493-7556-9

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

21.08.2009

Abbildungen

There is a 16-page color insert containing 22 figures 21 Tables, black and white 22 Illustrations, color 37 Illustrations, black and white

Verlag

Taylor & Francis

Seitenzahl

393

Maße (L/B/H)

23.8/15.9/2.9 cm

Gewicht

657 g

Sprache

Englisch

ISBN

978-0-8493-7556-9

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  • Produktbild: Jelinek, H: Automated Image Detection of Retinal Pathology
  • Introduction Why Automated Image Detection of Retinal Pathology? Automated Assessment of Retinal Eye Disease Diabetic Retinopathy and Public Health Introduction The pandemic of diabetes and its complications Retinal structure and function Definition and description Classification of Diabetic Retinopathy Differential Diagnosis of Diabetic Retinopathy Systemic Associations of Diabetic Retinopathy Pathogenesis Treatment Screening Conclusion Detecting Retinal Pathology Automatically with Special Emphasis on Diabetic Retinopathy Historical aside Approaches to computer (aided) diagnosis Detection of diabetic retinopathy lesions Detection of lesions and segmentation of retinal anatomy Detection and staging of diabetic retinopathy: pixel to patient Directions for research Finding a Role for Computer-Aided Early Diagnosis of Diabetic Retinopathy Mass Examinations of Eyes in Diabetes Developing and Defending a Risk Reduction Programme Assessing Accuracy of a Diagnostic Test Improving Detection of Diabetic Retinopathy Measuring Outcomes of Risk Reduction Programmes User Experiences of Computer-Aided Diagnosis Planning a Study to Evaluate Accuracy Conclusion Retinal Markers for Early Detection of Eye Disease Abstract Introduction Non-Proliferative Diabetic Retinopathy Chapter Overview Related Works on Identification of Retinal Exudates and the Optic Disc Preprocessing Pixel-Level Exudate Recognition Application of Pixel-Level Exudate Recognition on the Whole Retinal Image Locating the Optic Disc in Retinal Images Conclusion Automated Microaneurysm Detection for Screening Characteristics of microaneurysms and dot-haemorrhages History of Automated Microaneurysm Detection Microaneurysm Detection in Colour Retinal Images The Waikato Automated Microaneurysm Detector Issues for Microaneurysm Detection Research Application of Microaneurysm Detection Conclusion Retinal Vascular Changes as Biomarkers of Systemic Cardiovascular Diseases Introduction Early Description of Retinal Vascular Changes Retinal Vascular Imaging Retinal Vascular Changes and Cardiovascular Disease Retinal Vascular Changes and Metabolic Diseases Retinal Vascular Changes and other Systemic Diseases Genetic Associations of Retinal Vascular Changes Conclusion Segmentation of Retinal Vasculature Using Wavelets and Supervised Classification: Theory and Implementation Introduction Theoretical Background Segmentation Using the 2-D Gabor Wavelet and Supervised Classification Implementation and Graphical User Interface Experimental Results Conclusion Determining Retinal Vessel Widths and Detection of Width Changes Identifying Blood Vessels Vessel Models Vessel Extraction Methods Can's Vessel Extraction Algorithm Measuring Vessel Width Precise Boundary Detection Continuous Vessel Models with Spline-based Ribbons Estimation of Vessel Boundaries using Snakes Vessel Width Change Detection Conclusion Geometrical and Topological Analysis of Vascular Branches from Fundus Retinal Images Introduction Geometry of Vessel Segments and Bifurcations Vessel Diameter Measurements from Retinal Images Clinical Findings from Retinal Vascular Geometry Topology of the Vascular Tree Automated Segmentation and Analysis of Retinal Fundus Images Clinical Findings from Retinal Vascular Topology Conclusion Tele-Diabetic Retinopathy Screening and Image Based Clinical Decision Support Introduction Telemedicine Telemedicine screening for Diabetic retinopathy Image-based clinical decision support systems Conclusion