A Beginner’s Guide to Medical Application Development with Deep Convolutional Neural Networks 1st Edition
Artificial Intelligence (AI) and Deep Learning are transforming healthcare, and Convolutional Neural Networks (CNNs) stand at the center of this medical revolution. A Beginner’s Guide to Medical Application Development with Deep Convolutional Neural Networks (1st Edition) is a comprehensive and practical resource for anyone looking to understand and apply CNNs in medical image analysis, diagnostics, and healthcare application development. Now available at Books Hub PK, this book is an essential choice for medical students, AI researchers, data scientists, software developers, and healthcare professionals in Pakistan who want to explore the intersection of medicine and machine learning.
This guide introduces the fundamentals of deep learning, CNN architectures, and image processing techniques, followed by real-world applications in radiology, pathology, oncology, neurology, and cardiology. With its beginner-friendly approach, it bridges the gap between theory and practice, making it easier for readers with limited programming or medical AI experience to get started.
Key Features of This Book:
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Step-by-step introduction to deep learning and convolutional neural networks.
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Practical applications in medical imaging, disease detection, and diagnostics.
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Covers popular frameworks such as TensorFlow, Keras, and PyTorch for medical AI projects.
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Beginner-friendly examples for developing real-world healthcare applications.
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Insights into future trends of AI in medicine and personalized healthcare.
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Suitable for medical students, software engineers, biomedical researchers, and AI enthusiasts.
For students and professionals in Pakistan, this book provides an excellent foundation to enter the rapidly growing field of AI-driven healthcare technology. By learning how CNNs are applied in medical applications, readers will gain valuable skills for academic research, industry careers, and healthcare innovation.
