Titlebook: Digital Molecular Magnetic Resonance Imaging; Bamidele O. Awojoyogbe,Michael O. Dada Book 2024 The Editor(s) (if applicable) and The Autho

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Neural Radiance Fields (NeRFs) Technique to Render 3D Reconstruction of Magnetic Resonance Images,s have shown great promise in the fields of computer graphics and vision, but there is still much to learn about how to use them in the context of medical imaging, especially MRI data. The main goal of this chapter is to apply NeRFs to establish a strong framework for the three-dimensional rendering

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Engulf

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Artificial Intelligence-Based Classification of Brain Tumors,scans of brain tumors according to their class (glioma, meningioma, or pituitary tumors) (ii) develop a transfer learning model capable of accurately classifying the various types of brain tumors (iii) develop an easy-to-use web application/GUI based on the trained model.

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MAPLE

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2196-8861 ties. This book opens the door to ultra-powerful digital molecular MRI powered by quantum computing that can perform calculations that would take supercomputers millions of years..978-981-97-6372-6978-981-97-6370-2Series ISSN 2196-8861 Series E-ISSN 2196-887X

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Digital Molecular Magnetic Resonance Imaging978-981-97-6370-2Series ISSN 2196-8861 Series E-ISSN 2196-887X

lymphoma

致命

Series in BioEngineeringhttp://image.papertrans.cn/e/image/284722.jpg