Machine Learning for Medical Applications: Computer Vision, Image Processing, Disease Detection (Advanced Mechanical Engineering, 14/2) - Hardcover
Synopsis
Machine Learning for Medical Applications – Volume II delves into the intersection of artificial intelligence, computer vision, and healthcare, offering a comprehensive exploration of how machine learning is revolutionizing disease detection and diagnostics. With a focus on deep learning methods, the volume covers a wide spectrum of innovations including medical image segmentation, predictive modeling, tissue engineering, smart biomaterials, and personalized implant design through 3D printing. Contributors from academia and industry present state-of-the-art applications involving quantum dot functionalization, AI-enhanced diagnostic materials, and real-time image analysis. Each chapter provides both foundational knowledge and practical insight into how advanced algorithms can drive medical breakthroughs. Ideal for medical technologists, data scientists, biomedical engineers, and clinical practitioners, this volume emphasizes the role of machine learning in developing faster, smarter, and more accurate diagnostic tools for the next generation of personalized medicine.
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About the Author
R. Ranjith, Amit Sharma, R. Dhivya, India; J. Paulo Davim, Portugal.
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Machine Learning for Medical Applications: Computer Vision, Image Processing, Disease Detection (Advanced Mechanical Engineering, 14/2)
Seller: Buchpark, Trebbin, Germany
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 542 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar. Seller Inventory # 43804092/12
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Machine Learning for Medical Applications (Hardcover)
Print on DemandSeller: AussieBookSeller, Truganina, VIC, Australia
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. Machine Learning for Medical Applications Volume II delves into the intersection of artificial intelligence, computer vision, and healthcare, offering a comprehensive exploration of how machine learning is revolutionizing disease detection and diagnostics. With a focus on deep learning methods, the volume covers a wide spectrum of innovations including medical image segmentation, predictive modeling, tissue engineering, smart biomaterials, and personalized implant design through 3D printing. Contributors from academia and industry present state-of-the-art applications involving quantum dot functionalization, AI-enhanced diagnostic materials, and real-time image analysis. Each chapter provides both foundational knowledge and practical insight into how advanced algorithms can drive medical breakthroughs. Ideal for medical technologists, data scientists, biomedical engineers, and clinical practitioners, this volume emphasizes the role of machine learning in developing faster, smarter, and more accurate diagnostic tools for the next generation of personalized medicine. This volume highlights the integration of machine learning with computer vision and image processing for advanced disease detection and medical diagnostics. Covering cutting-edge research in deep learning architectures, anomaly detection, quantum do This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9783119147828