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/https://libri-media.knygos-static.lt/a2cb7531-7cdc-4be8-ad75-094f3fd01321/2)
- Leidėjas: Elsevier Science
- Metai: 2026
- Puslapiai: 350
- ISBN-10: 0443302898
- ISBN-13: 9780443302893
- Kalba: Anglų
Optical Coherence Tomography-Based Artificial Intelligence in Ophthalmology (el. knyga) (skaityta knyga) | knygos.lt
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Aprašymas
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. 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.
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.
- Leidėjas: Elsevier Science
- Metai: 2026
- Puslapiai: 350
- ISBN-10: 0443302898
- ISBN-13: 9780443302893
- Kalba: Anglų
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. 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.
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.
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