Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Advanced Imaging Applications for Interdisciplinary Engineering

Advanced Imaging Applications for Interdisciplinary Engineering

Gupta, Anupma
Singla, Manish
Puri, Arjun

Paperback

Medical ReferenceTechnology & Engineering

ISBN13: 9798898814588
Publisher: Bentham Science Publishers
Published: Apr 27 2026
Pages: 228
Weight: 1.22
Height: 0.59 Width: 7.00 Depth: 10.00
Language: English
Advanced Imaging Applications for Interdisciplinary Engineering is a multidisciplinary exploration of the applications of A.I based imaging technologies and predictive modelling across nanotechnology, quantum imaging, and environmental science.

It covers AI-based image analysis and machine learning applications and innovations in nanoparticle-enhanced diagnostic imaging across modalities such as MRI, CT, and ultrasound. The book also explores quantum imaging techniques, including entanglement-based and ghost imaging, alongside applied computational models for tasks like air quality forecasting. Additional contributions include AI-driven traffic surveillance, image enhancement methods, and blockchain-based healthcare systems for secure data management.

The final sections address environmental studies, including waste analysis and groundwater contamination assessment. Overall, the volume bridges theory and real-world applications across healthcare, environmental monitoring, and intelligent systems.

Key Features:

-Multidisciplinary coverage spanning artificial intelligence, nanotechnology, quantum imaging, and environmental science.

-Detailed insights into advanced imaging techniques, including CT, MRI, PET/SPECT, and quantum imaging methods.

-Integrated perspectives on machine learning models for predictive analytics, image enhancement, and environmental forecasting.

-Explores blockchain-based healthcare frameworks for secure and interoperable data management.

-Combines theoretical foundations with practical case studies and real-world applications to provide experimental analysis across medical diagnostics, environmental monitoring, and infrastructure surveillance.

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