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Machine Learning for Medical Imaging Analysis and Interpretation

Original price was: ₹250.00.Current price is: ₹220.00.


ISBN: 978-81-19359-24-0 Category:
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Welcome to the world of Machine Learning for Medical Imaging Analysis and Interpretation! In this book, we embark on a journey into the fascinating realm where cutting-edge technology meets the life-saving domain of healthcare. Over the past few decades, the convergence of medicine and machine learning has ushered in a new era of possibilities, transforming the way we diagnose and interpret medical images. This book is your gateway to understanding and harnessing the incredible
potential of these advancements. In the world of medicine, visual data in the form of medical images, such as X-rays, MRIs, CT scans, and histopathology slides, plays a pivotal role in patient diagnosis, treatment planning, and monitoring. Traditionally, the interpretation of these images has relied heavily on the expertise of skilled radiologists and
pathologists. While these experts are invaluable, they are also in high demand and limited in number. Moreover, the interpretation of complex images can be subjective and time-consuming, leaving room for error and delays in patient care. Enter machine learning, a field of artificial intelligence that has emerged as a game-changer in the medical domain.
Machine learning algorithms can be trained to analyze vast quantities of medical imaging data, extract meaningful information, and assist healthcare professionals in making accurate and timely diagnoses. From detecting early signs of disease to segmenting and quantifying anatomical structures, machine learning has the potential to revolutionize the way
we approach medical image analysis. In this book, we will explore the fundamental concepts of machine learning and delve into the specific techniques and methodologies that are reshaping medical imaging analysis. We will journey through the different modalities of medical imaging, from radiology to pathology, and examine real-world case studies that demonstrate the transformative impact of machine learning in clinical practice. Our aim is to provide a comprehensive and accessible
resource for readers with diverse backgrounds, whether you are a healthcare professional seeking to leverage machine learning in your practice, a researcher delving into the field, or simply an enthusiast intrigued by the intersection of technology and healthcare. We will walk you through the key principles, tools, and best practices that will empower you to harness the potential of machine learning for medical imaging.





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