Advanced Techniques in Medical Imaging (Computer Vision and Machine Learning Approaches)
Keywords:
Medical Imaging, Machine Learning, Medical Image Classification, Deep Learning , Medical Imaging Technology, Computer VisionSynopsis
Medical imaging has revolutionised the field of healthcare, providing critical insights and aiding in accurate diagnoses. This book, "Advanced Techniques in Medical Imaging: Computer Vision and Machine Learning Approaches," begins with an introduction to the world of medical imaging, highlighting its importance and evolution. We then delve into the fundamentals of computer vision, a key component in interpreting complex medical images. Following this, an introduction to machine learning sets the stage for understanding how these powerful algorithms can be harnessed to analyse medical data.
The book covers a wide range of topics, including image segmentation techniques that allow for precise identification of structures within medical images and feature extraction and representation, which are crucial for converting image data into usable information. We explore Medical Image Classification, illustrating how different algorithms can differentiate between various conditions.
A significant portion of the book is dedicated to Deep Learning architectures, which have shown remarkable success in medical diagnosis. We also discuss computer-aided diagnosis systems, becoming indispensable tools for clinicians. Finally, the book addresses the challenges faced in this field. It looks towards future directions, ensuring that readers are equipped with a comprehensive understanding of the current landscape and the potential advancements in Medical Imaging Technology.
This book aims to provide a thorough grounding in the latest techniques and approaches, making it an invaluable resource for researchers, practitioners, and students involved in the intersection of medical imaging, Computer Vision, and machine learning.
Chapters
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Deep Learning Approaches for Medical Image Analysis
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Convolutional Neural Networks in Medical Imaging
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Introduction to Machine Learning
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Image Segmentation Techniques
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Feature Extraction and Representation
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Medical Image Classification
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Deep Learning Architectures for Medical Diagnosis
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Computer-Aided Diagnosis Systems
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Challenges and Future Directions

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