AI in Healthcare
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Artificial Intelligence (AI) is reshaping the future of medicine, and its role in cancer detection is one of the most promising breakthroughs of our time. AI in Healthcare: Detecting Blood Cancer with Deep Learning presents an innovative approach to early diagnosis using MobileNet, a lightweight and efficient deep learning model designed for medical image analysis.
This book explores how microscopic blood smear images can be leveraged with advanced AI techniques to automate the detection of blood cancer, improving accuracy, speed, and accessibility in clinical settings. From the fundamentals of blood cancer and convolutional neural networks to hands-on implementation with MobileNet, the book offers a comprehensive guide for students, researchers, and practitioners.
By combining medical insights with technical depth, the work demonstrates how AI-powered solutions can bridge gaps in healthcare—reducing workload for medical professionals, supporting early diagnosis, and extending quality care to underserved regions. With detailed methodologies, evaluation metrics, and deployment strategies, this book serves as both an academic reference and a practical resource.
Whether you are a healthcare professional, data scientist, or student of artificial intelligence, this book will help you understand the transformative potential of AI in medical diagnostics and inspire future innovations in healthcare technology.