Gasm Elseid, Arwa Ahmed Mohammed Hamza, Alnazier Osman Computer-aided glaucoma diagnosis system 9780367494438

Варианты приобретения

Цена: 17609.00р.
Кол-во:
Наличие: Поставка под заказ. Есть в наличии на складе поставщика.
Склад Америка: Есть
Deprecated: substr(): Passing null to parameter #1 ($string) of type string is deprecated in E:\WWW\html\prod_show.php on line 417

Deprecated: substr(): Passing null to parameter #1 ($string) of type string is deprecated in E:\WWW\html\prod_show.php on line 418

При оформлении заказа до:
Ориентировочная дата поставки:
При условии наличия книги у поставщика.

Добавить в корзину

в Мои желания

Автор: Gasm Elseid, Arwa Ahmed Mohammed Hamza, Alnazier Osman
Название: Computer-aided glaucoma diagnosis system
ISBN: 9780367494438
Издательство: Taylor&Francis
Классификация:

Офтальмология

Рентгенография и рентгеноскопия

Биомедицинская техника

Промышленный дизайн

Автоматизированное проектирование (САПР)

ISBN-10: 0367494434
Обложка/Формат: Paperback
Страницы: 154
Вес: 0.25 кг.
Дата издания: 01.02.2022
Язык: English
Иллюстрации: 27 tables, black and white; 50 illustrations, black and white
Размер: 23.39 x 15.60 x 0.94 cm
Рейтинг:
Поставляется из: Европейский союз
Описание: Glaucoma is the second leading cause of blindness globally. Early detection and treatment can prevent its progression to avoid total blindness. This book discusses and reviews current approaches for detection and examines new approaches for diagnosing glaucoma using CAD system. Computer-Aided Glaucoma Diagnosis System, Chapter 1 provides a brief introduction of the disease and current methodology used to diagnose it today. Chapter 2 presents a review of the medical background of the disease, followed by a theoretical and mathematical background used in fundus image processing. Chapter 3 is a literature review about segmentation and feature extraction. Chapter 4 describes the formulation of the proposed methodology. In Chapter 5, the results of optic disc and optic cup segmentation algorithm are presented, the feature extraction and selection method, experimental results and performance evaluations of the classifier are given. Chapter 6 presents the conclusions and discussion of the future potential for the diagnostic system. This book is intended for biomedical engineers, computer science students, ophthalmologists and radiologists looking to develop a reliable automated computer-aided diagnosis system (CAD) for detecting glaucoma and improve diagnosis of the disease.Key FeaturesDiscusses a reliable automated computer-aided diagnosis system (CAD) for detecting glaucoma and presents an algorithm that detects optic disc and optic cup Assists ophthalmologists and researchers to test a new diagnostic method that reduces the effort and time of the doctors and cost to the patients Discusses techniques to reduce human error and minimize the miss detection rate and facilitate early diagnosis and treatment Presents algorithms to detect cup and disc color, shape features and RNFL texture featuresDr. Ar
Дополнительное описание: 1. Introduction- Computer Aided Diagnosis. 2. Medical Background-Glaucoma Diagnosis. 3. Related Works-OD and OC Segmentation, Disc to Cup Ratio (CDR). 4. Research Methodology-Fundus Image Datasets, Image Preprocessing and Enhancement 5. Results and Discu

Computer-aided glaucoma diagnosis system, Gasm Elseid, Arwa Ahmed Mohammed Hamza, Alnazier Osman