This book explores the crucial field of Brain Region Segmentation, a cornerstone of accurate MRI analysis and diagnosis. Discover how cutting-edge research, implemented within the powerful MATLAB environment, leverages machine learning and deep learning techniques, including Convolutional Neural Networks (CNNs). Witness the groundbreaking innovation of integrating Weighted Least Squares (WLS) filtering with Semantic Segmentation, pushing the boundaries of accuracy and minimizing Mean Squared Error (MSE). Delve into a research domain with immense potential, offering invaluable insights for scientists and researchers worldwide. This book is a must-read for researchers in medical imaging and neuroscience, students and professionals in computer vision and machine learning, and anyone interested in advancing the frontiers of brain analysis. Experience the future of brain region segmentation.
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Rahat Naz serves as an assistant professor at IILM University, possessing a robust background in technology and research. She is devoted to making a meaningful impact in academia. Dr. Mohd. Aquib Ansari is working as an assistant professor at Bennett University, Greater Noida. His research interests include Computer Vision and AI\ML.
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Taschenbuch. Zustand: Neu. Brain Region Segmentation | From Convolutional Neural Networks to Next-Gen Solutions | Rahat Naz (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786208419479 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Artikel-Nr. 131012621
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