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Home DECCAN ACEDEMIC INTERNATIONAL PUBLISHERS Techniques to Identify Brain Tumors from MRI Scan Images by Prof.M.James Stephen, Prof.P.V.G.D. Prasad Reddy, Dr.P.Sreekanth
Moderen Building Materials by Dr. S. KANDASAMY, Dr. A. K. KALILUTHIN, M. V. V. THIRUMURUGA POIYAMOZH ₹999.00 Original price was: ₹999.00.₹899.00Current price is: ₹899.00.
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ENGINEERING MECHANICS BY Dr. Chintakuntla Chandrudu ₹999.00 Original price was: ₹999.00.₹799.00Current price is: ₹799.00.

Techniques to Identify Brain Tumors from MRI Scan Images by Prof.M.James Stephen, Prof.P.V.G.D. Prasad Reddy, Dr.P.Sreekanth

₹999.00 Original price was: ₹999.00.₹799.00Current price is: ₹799.00.

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Welcome to the realm of “Techniques to Identify Brain Tumors from MRI Scan Images.” In the intersection of medicine and technology, the quest for accurate and efficient diagnosis is a driving force behind transformative advancements. This book embarks on a journey through the intricate landscape of medical imaging, exploring techniques designed to identify and analyze brain tumors from magnetic resonance imaging (MRI) scans.

The diagnosis and treatment of brain tumors represent a critical frontier in healthcare, where precision is paramount. Medical imaging, particularly MRI scans, plays a pivotal role in this process, offering detailed insights into the structure and composition of the brain. As we delve into the pages that follow, our goal is to navigate the complexities of identifying brain tumors through the lens of sophisticated imaging techniques.

The exploration begins with an understanding of the challenges inherent in the detection of brain tumors from MRI scans. From the intricacies of tumor morphology to the variations in imaging protocols, readers will gain insights into the nuances that impact accurate diagnosis. The foundational chapters lay the groundwork, demystifying the theoretical underpinnings of medical imaging and tumor identification.

As we progress through the book, the narrative seamlessly transitions into the realm of practical applications. Various imaging techniques, machine learning algorithms, and computational approaches are dissected and evaluated for their effectiveness in identifying and characterizing brain tumors. Real-world case studies and examples provide a tangible dimension to the theoretical concepts, offering readers a practical toolkit for enhancing diagnostic accuracy.

Moreover, this book recognizes the interdisciplinary nature of medical imaging, acknowledging its applications in the broader context of healthcare. The discussions extend beyond technical nuances to encompass ethical considerations, patient privacy, and the potential societal impact of deploying advanced imaging techniques for medical diagnosis.

In crafting this book, our intent is not only to provide a comprehensive resource for healthcare professionals, researchers, and students but also to contribute to the ongoing dialogue in the field of medical imaging. May the pages that follow serve as a source of inspiration, inviting you to explore the techniques that can revolutionize the identification of brain tumors from MRI scan images.

Whether you are a seasoned medical practitioner seeking to enhance your diagnostic capabilities, a researcher pushing the boundaries of knowledge, or a student eager to delve into the intricacies of medical imaging, this book is crafted to be a valuable companion in your journey.

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