Optical Coherence Tomography-Based Artificial Intelligence in Ophthalmology
Editat de Kai Jin, Andrzej Grzybowskien Limba Engleză Paperback – iun 2026
Researchers will find tactics that help them make impactful contributions, collaborate effectively, and navigate the complexities of this interdisciplinary domain. In addition, the book provides practical insights, real-world applications, and evidence-based information that enables clinicians to leverage OCT-based AI for improved patient care, diagnostic accuracy, and operational efficiency.
- 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
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0443302898
Pagini: 350
Dimensiuni: 191 x 235 mm
Greutate: 0.45 kg
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
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