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Computational imaging and analytics in biomedical engineering : algorithms and applications
Computational imaging and analytics in biomedical engineering: algorithms and applications, focuses on mathematical and numerical methods for medical images and data. The book presents the various ...mathematical modeling techniques, numerical analysis, computing and computational techniques, and applications of machine learning for medical images and medical informatics. It also focuses on programming concepts using MATLAB and Phython for medical image and signal analytics. The volume demonstrates the use of various computational techniques and tools such as machine learning, deep neural networks, artificial intelligence and human-computer interaction, fusion methods for CT and pet images, etc. for diagnosis of brain disorders, cervical cancer, lung disease, melanoma, atrial fibrillation and other circulatory issues, dental images, diabetes, and other medical issues. Key features: Addresses the various common challenges related to biomedical image analysis; Presents a variety of mathematical models for medical images; Discusses applications of algorithms on medical images for various medical issues; Describes the development of intelligent computing machines such as embedded systems; Explores the programming techniques using MATLAB and Phython for biomedical applications. This book presents a plethora of uses of algorithms and applications in computational imaging and analytics for the medical/health field. It will serve as a resource on recent advances and trends in the field of computational imaging, where computation is playing a dominant role in imaging systems.
Type of material - proceedings
Edition - 1st ed.
Publication and manufacture - Palm Bay (FL) ; Burlington (ON, Canada) : Apple Academic Press ; Boca Raton (FL) ; Abingdon : CRC Press, 2024
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