Deep Learning Applications in Medical Image Segmentation: Overview, Approaches, and Challenges
by Sajid Yousuf Bhat, Aasia Rehman, Muhammad Abulaish
This book presents an in-depth overview of deep learning applications in medical image segmentation, covering essential approaches and persistent challenges. Authored by experts Sajid Yousuf Bhat, Aasia Rehman, and Muhammad Abulaish, it guides readers through the methodologies driving advancements in healthcare imaging, emphasizing practical insights for overcoming implementation hurdles in clinical settings.
About This Book
This book offers a comprehensive overview of deep learning applications specifically tailored to medical image segmentation. It examines the foundational concepts and evolving methodologies in this interdisciplinary field.
Authors Sajid Yousuf Bhat, Aasia Rehman, and Muhammad Abulaish detail various approaches that leverage deep learning techniques to enhance the accuracy and efficiency of segmenting medical images.
The discussion highlights key challenges encountered in implementing these technologies, including data variability, computational demands, and integration with clinical workflows.
Designed for researchers and practitioners, the book serves as a valuable resource for understanding current trends and future directions in medical imaging analysis.
Reviews
No reviews yet. Be the first to review this book!