Future medical imaging (29 resultados)

Paperback or Softback. Condición: New. Medical Intuition, Intuitive Diagnosis, MIDI-Medical Intuitive Diagnostic Imaging(tm): How to See Inside a Body to Diagnose Current Disorders & Future. Book.

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Paperback. Condición: New. My shelf location - bn2-e-38*.

Condición: New.

Condición: New. In English.

Condición: New. In English.

Hardcover. Condición: Brand New. 150 pages. 9.26x6.11x8.90 inches. In Stock.

Taschenbuch. Condición: Neu. Advanced Image Fusion Techniques for Medical Imaging | Trends, Applications, and Future Directions | Palani Thanaraj Krishnan (u. a.) | Taschenbuch | xiii | Englisch | 2026 | Springer | EAN 9789819676040 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'Advanced Image Fusion Techniques for Medical Imaging: Trends, Applications, and Future Directions' is a comprehensive exploration of cutting-edge image fusion methodologies in the realm of medical imaging. This timely work addresses the growing need for advanced techniques to integrate and analyze multi-modal medical images, offering healthcare professionals and researchers a valuable resource for improving diagnostic accuracy and patient outcomes.The book provides a thorough examination of both conventional and deep learning-based fusion strategies, covering a wide spectrum of applications in medical image processing. From noise reduction and image enhancement to segmentation and classification, the authors present a detailed analysis of how image fusion can be leveraged to overcome the limitations of individual imaging modalities. Real-world case studies and practical examples throughout the text demonstrate the tangible benefits of these techniques in clinical settings. Looking beyond current applications, this forward-thinking volume also explores emerging trends and future directions in medical image fusion. By addressing challenges and potential impacts on healthcare practices, the authors offer readers a glimpse into the future of medical imaging.This book serves as an essential guide for researchers in biomedical engineering, medical professionals specializing in radiology and medical imaging, and graduate students in computer science, electrical engineering, biomedical engineering. This diverse audience reflects the book's comprehensive approach to advanced image fusion techniques in medical imaging, covering both theoretical foundations and practical applications.…

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'Advanced Image Fusion Techniques for Medical Imaging: Trends, Applications, and Future Directions' is a comprehensive exploration of cutting-edge image fusion methodologies in the realm of medical imaging. This timely work addresses the growing need for advanced techniques to integrate and analyze multi-modal medical images, offering healthcare professionals and researchers a valuable resource for improving diagnostic accuracy and patient outcomes.The book provides a thorough examination of both conventional and deep learning-based fusion strategies, covering a wide spectrum of applications in medical image processing. From noise reduction and image enhancement to segmentation and classification, the authors present a detailed analysis of how image fusion can be leveraged to overcome the limitations of individual imaging modalities. Real-world case studies and practical examples throughout the text demonstrate the tangible benefits of these techniques in clinical settings. Looking beyond current applications, this forward-thinking volume also explores emerging trends and future directions in medical image fusion. By addressing challenges and potential impacts on healthcare practices, the authors offer readers a glimpse into the future of medical imaging.This book serves as an essential guide for researchers in biomedical engineering, medical professionals specializing in radiology and medical imaging, and graduate students in computer science, electrical engineering, biomedical engineering. This diverse audience reflects the book's comprehensive approach to advanced image fusion techniques in medical imaging, covering both theoretical foundations and practical applications.…

Hardcover. Condición: Brand New. 150 pages. 9.26x6.11x8.90 inches. In Stock.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Condición: New. In English.

Condición: New.

Hardback. Condición: New. Academic scholars and professionals are currently grappling with hurdles in optimizing diagnostic processes, as traditional methodologies prove insufficient in managing the intricate and voluminous nature of medical data. The diverse range of imaging techniques, spanning from endoscopy to magnetic resonance imaging, necessitates a more unified and efficient approach. This complexity has created a pressing need for streamlined methodologies and innovative solutions. Academic scholars find themselves at the forefront of addressing these challenges, seeking ways to leverage AI's full potential in improving the accuracy of medical imaging diagnostics and, consequently, enhancing overall patient outcomes. Future of AI in Medical Imaging, stands as a solution to the challenges faced by academic scholars in the realm of medical imaging. The book lays a solid groundwork for understanding the complexities of medical imaging systems. Through an exploration of various imaging modalities, it not only addresses the current issues but also serves as a guide for scholars to navigate the landscape of AI-integrated medical diagnostics. This collaborative effort not only illuminates the existing hurdles of medical imaging but also looks towards a future where AI-driven diagnostics and personalized medicine become indispensable tools, significantly elevating patient outcomes. For scholars seeking to contribute to this subject area, Future of AI in Medical Imaging serves as a resource to learn about new ideas, methodologies, and technological advancements. By fostering interdisciplinary collaboration and encouraging a global exchange of insights, the book positions itself as a tool for innovation in the intersection of AI and medical imaging. Through the inspiration of curiosity, it calls on scholars, researchers, and professionals to collectively engage in resolving the challenges associated with leveraging AI in medical imaging.…

Hardback. Condición: New. Academic scholars and professionals are currently grappling with hurdles in optimizing diagnostic processes, as traditional methodologies prove insufficient in managing the intricate and voluminous nature of medical data. The diverse range of imaging techniques, spanning from endoscopy to magnetic resonance imaging, necessitates a more unified and efficient approach. This complexity has created a pressing need for streamlined methodologies and innovative solutions. Academic scholars find themselves at the forefront of addressing these challenges, seeking ways to leverage AI's full potential in improving the accuracy of medical imaging diagnostics and, consequently, enhancing overall patient outcomes. Future of AI in Medical Imaging, stands as a solution to the challenges faced by academic scholars in the realm of medical imaging. The book lays a solid groundwork for understanding the complexities of medical imaging systems. Through an exploration of various imaging modalities, it not only addresses the current issues but also serves as a guide for scholars to navigate the landscape of AI-integrated medical diagnostics. This collaborative effort not only illuminates the existing hurdles of medical imaging but also looks towards a future where AI-driven diagnostics and personalized medicine become indispensable tools, significantly elevating patient outcomes. For scholars seeking to contribute to this subject area, Future of AI in Medical Imaging serves as a resource to learn about new ideas, methodologies, and technological advancements. By fostering interdisciplinary collaboration and encouraging a global exchange of insights, the book positions itself as a tool for innovation in the intersection of AI and medical imaging. Through the inspiration of curiosity, it calls on scholars, researchers, and professionals to collectively engage in resolving the challenges associated with leveraging AI in medical imaging.…

Condición: New. Print on Demand.

Hardcover. Condición: Very Good. Hardcover. NO DUST JACKET. Pages clean and unmarked. Covers show very minor shelf wear. Binding tight, hinges strong.; 100% Satisfaction Guaranteed! Ships same or next business day.

Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Stop reading images. Start leading the symphony.The traditional radiology department is at a breaking point. Between 500-slice CT datasets, massive backlogs, and the administrative 'pajama time' that fuels physician burnout, the human doctor has been reduced to a data-entry clerk. But as we move toward 2030, the architecture of healthcare is undergoing a fundamental phase shift.In The Agentic Department, visionary medical imaging leader Dr. Basem Garada provides the definitive strategic roadmap for transitioning from narrow 'Point Solutions' to General Medical Intelligence (GMI). This isn't just about faster algorithms-it's about the birth of the Total Agent: a unified, multimodal reasoning partner that understands the patient not as a series of pixel coordinates, but as a complex, living biological narrative.Whether you are a Chief Information Officer, a Department Chair, or a frontline Radiologist, this blueprint offers the technical and ethical scaffolding to navigate the 'Agentic Shift' with precision.Discover the actionable frameworks for the next era of imaging:The 7-Phase Implementation Lifecycle: A disciplined path from identifying high-friction 'pain points' to 'Shadow Mode' validation and full-scale production rollout.The Integration Stack: How to build a modular, future-proof infrastructure using HL7 FHIR, DICOMweb, and the 2026 Model Context Protocol (MCP).Modality-Specific Takeaways: Tailored AI strategies for CT (High-Velocity Triage), MRI (Efficiency Synthesis), Ultrasound (Operator Guidance), and PET/IR (Molecular Precision).The AI Dividend: Proven methods to reallocate 'recovered time' to reduce burnout and restore the physician's role as the Ethical Anchor of care.Risk Mitigation: Expert guidance on managing 'Skill Atrophy,' avoiding logical hallucinations, and resolving the liability 'Gray Zones' of autonomous decisions.The machines have taken over the searching, but they have left the thinking and the caring entirely to us. The rise of the agent is not the end of the doctor-it is the beginning of the Human Doctor.Join Dr. Basem Garada and Digi Health Services, LLC in redefining the future of medical imaging. Order your copy today and lead the Renaissance.…

HRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Academic scholars and professionals are currently grappling with hurdles in optimizing diagnostic processes, as traditional methodologies prove insufficient in managing the intricate and voluminous nature of medical data. The diverse range of imaging techniques, spanning from endoscopy to magnetic resonance imaging, necessitates a more unified and efficient approach. This complexity has created a pressing need for streamlined methodologies and innovative solutions. Academic scholars find themselves at the forefront of addressing these challenges, seeking ways to leverage AI's full potential in improving the accuracy of medical imaging diagnostics and, consequently, enhancing overall patient outcomes. Future of AI in Medical Imaging , stands as a solution to the challenges faced by academic scholars in the realm of medical imaging. The book lays a solid groundwork for understanding the complexities of medical imaging systems. Through an exploration of various imaging modalities, it not only addresses the current issues but also serves as a guide for scholars to navigate the landscape of AI-integrated medical diagnostics. This collaborative effort not only illuminates the existing hurdles of medical imaging but also looks towards a future where AI-driven diagnostics and personalized medicine become indispensable tools, significantly elevating patient outcomes.…