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Springer Artificial Intelligence in Ophthalmology Textbook

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Description

Explore the intersection of technology and vision science with Artificial Intelligence in Ophthalmology by Springer. This comprehensive book provides a wide-ranging overview of artificial intelligence (AI), machine learning (ML), and deep learning (DL) algorithms specifically applied to the field of ophthalmology. Through expert chapters, readers examine the application of AI in managing age-related macular degeneration, glaucoma, retinopathy of prematurity, and diabetic retinopathy screening. The text goes beyond theory to assess the technical aspects of deep learning systems for retinal diseases. It includes detailed analysis of significant developments such as the Google DeepMind application, the Singapore algorithm, and the Johns Hopkins algorithm. This resource offers a careful assessment of AI perspectives, systems, and limitations, making it an essential guide for understanding how modern computational methods are transforming eye care and disease screening.

Key Features

This Springer publication covers artificial intelligence, machine learning, and deep learning algorithms used in ophthalmology.

Expert chapters examine specific medical applications including glaucoma, age-related macular degeneration, and diabetic retinopathy screening.

The text provides a technical analysis of deep learning systems for retinal diseases.

Detailed sections cover the application of the Google DeepMind, Singapore, and Johns Hopkins algorithms.

Readers gain a thorough assessment of AI perspectives, systems, and current limitations in the field.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
14 October 2021
Listed Since
15 August 2020

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No barcode data available

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