Alzheimer's Disease Early Detection - Aremu, Bolakale; Johnson Jr., Charles
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"Alzheimer's Disease Early Detection: A Deep Learning Approach with 3D-CNNs and Attention Mechanisms" offers a groundbreaking exploration of how advanced machine learning techniques are revolutionizing the diagnosis of Alzheimer's disease. In this comprehensive guide, you will uncover the powerful role that deep learning, particularly 3D Convolutional Neural Networks (3D-CNNs) and Attention Mechanisms, can play in early detection-paving the way for faster, more accurate diagnoses. This book is ideal for researchers, students, and professionals in artificial intelligence, neuroscience, and…mehr

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Produktbeschreibung
"Alzheimer's Disease Early Detection: A Deep Learning Approach with 3D-CNNs and Attention Mechanisms" offers a groundbreaking exploration of how advanced machine learning techniques are revolutionizing the diagnosis of Alzheimer's disease. In this comprehensive guide, you will uncover the powerful role that deep learning, particularly 3D Convolutional Neural Networks (3D-CNNs) and Attention Mechanisms, can play in early detection-paving the way for faster, more accurate diagnoses. This book is ideal for researchers, students, and professionals in artificial intelligence, neuroscience, and healthcare technology. It provides a detailed, step-by-step breakdown of the algorithms and models used to analyze brain imaging data, specifically focusing on how these techniques outperform traditional diagnostic methods. You'll dive into key topics such as:The application of deep learning to brain scans for identifying Alzheimer's at its earliest stages. The mechanics behind 3D-CNNs and attention mechanisms, which allow for a deeper understanding of brain structures and cognitive decline. Real-world case studies and cutting-edge research that demonstrate the practical implementation of these techniques. By the end of this book, you'll gain a comprehensive understanding of how artificial intelligence is reshaping Alzheimer's diagnostics, and how it can be used to improve patient outcomes. Whether you're an AI enthusiast or a healthcare professional, this book is an invaluable resource for those seeking to stay at the forefront of technological advancements in Alzheimer's disease research.
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Autorenporträt
My name is Bolakale Aremu, and I am the CEO of AB Publisher LLC, a media publishing company. I am a computer engineer and computer scientist with over 17 years of experience teaching artificial intelligence, software development, and computer hardware architecture. In recent years, I have contributed to the IT industry by developing a variety of programs for Windows, macOS, and PLCs (Programmable Logic Controllers).I specialize in building solutions from scratch and frequently modify open-source software to meet my clients' specific needs. As an embedded systems expert, I design embedded systems that balance performance and cost while meeting complex requirements. I utilize Stratify OS-a POSIX-like RTOS for microcontrollers-to efficiently develop sophisticated firmware applications in Python and C/C++. I also lead a dedicated team of Python programmers focused on addressing automation challenges and providing innovative solutions.