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Optical Coherence Tomography-based Artificial Intelligence in Ophthalmology

Editat de Kai Jin, Andrzej Grzybowski
en Limba Engleză Paperback – sep 2025
Optical Coherence Tomography-based Artificial Intelligence in Ophthalmology offers a comprehensive, practical, and up-to-date resource, equipping readers with the knowledge and tools necessary to excel in the emerging field of OCT-based AI in ophthalmology. It empowers researchers to make impactful contributions, collaborate effectively, and navigate the complexities of this interdisciplinary domain, while providing practical insights, real-world applications, and evidence-based information to enable clinicians to leverage OCT-based AI for improved patient care, diagnostic accuracy, and operational efficiency. The book, comprised of four sections, covers the fundamentals of Optical Coherence Tomography and Artificial Intelligence, presents techniques and methods for OCT-based AI, reviews applications and case studies, and provides expert perspectives and collaborations. From enhancing ophthalmology patient outcomes to collaborating effectively with the research community, this book empowers users to revolutionize patient care.

  • Explains how Optical Coherence Tomography and Artificial Intelligence synergize in ophthalmology to transform ophthalmic practice
  • Provides practical insights, case studies, and implementation strategies to harness the combined potential of OCT and AI for accurate diagnostics and enhanced patient care
  • Examines how OCT-based AI improves diagnostic accuracy, streamlines workflows, and guides treatment decisions
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Specificații

ISBN-13: 9780443302893
ISBN-10: 0443302898
Pagini: 350
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE

Cuprins

Section 1: Fundamentals of Optical Coherence Tomography and Artificial Intelligence
1: Introduction to OCT and AI Integration
2: Principles of Optical Coherence Tomography
3: Basics of Artificial Intelligence in Healthcare

Section 2: Techniques and Methods for OCT-based AI
4: Preprocessing and Enhancement of OCT Images
5: Machine Learning for OCT Data Analysis
6: Deep Learning in OCT-based AI

Section 3: Applications and Case Studies
7: OCT-based AI in Retinal Disease Diagnosis
8: Glaucoma Management with OCT and AI
9: Corneal Disease Assessment through OCT-based AI
10: Future Directions and Challenges in OCT-based AI

Section 4: Expert Perspectives and Collaborations
11: Collaborative Approach: Clinicians and Researchers Unite
12: Global Perspectives in OCT-based AI
13: Implementation Strategies for OCT-based AI
14: Generative AI Applications in OCT Imaging