Deep Learning for 3D Vision Algorithms and Applications

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【簡介】 3D deep learning is a rapidly evolving field that has the potential to transform various industries. This book provides a comprehensive overview of the current state-of-the-art in 3D deep learning, covering a wide range of research topics and applications. It collates the most recent research advances in 3D deep learning, including algorithms and applications, with a focus on efficient methods to tackle the key technical challenges in current 3D deep learning research and adoption, therefore making 3D deep learning more practical and feasible for real-world applications. This book is organized into five sections, each of which addresses different aspects of 3D deep learning. Section I: Sample Efficient 3D Deep Learning, focuses on developing efficient algorithms to build accurate 3D models with limited annotated samples. Section II: Representation Efficient 3D Deep Learning, deals with the challenge of developing efficient representations for dynamic 3D scenes and multiple 3D modalities. Section III: Robust 3D Deep Learning, presents methods for improving the robustness and reliability of deep learning models in real-world applications. Section IV: Resource Efficient 3D Deep Learning, explores ways to reduce the computation cost of 3D models and improve their efficiency in resource-limited environments. Section V: Emerging 3D Deep Learning Applications, showcases how 3D deep learning is transforming industries and enabling new applications for healthcare and manufacturing. This collection is a valuable resource for researchers and practitioners interested in exploring the potential of 3D deep learning. 【目錄】

First Aid Clinical Algorithms for the USMLE Step 2 CK

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【簡介】 重量：1.84kg 頁數：872 裝訂：平裝　開數：25.2*18.2 cm 印刷:彩色 First Aid™ remains the most trusted name in USMLE® review―just ask any medical student! First Aid Clinical Algorithms for the USMLE Step 2 CK was designed to help you develop and refine your clinical thinking skills―preparing you for success in your clerkship and on the Step 2 CK exam. This new addition to the First Aid™ series uses an algorithmic approach that allows you to methodically walk through the diagnostic decision making process. The content is organized by symptom to reflect how information will be presented in an actual clinical setting. Clinical vignettes focusing on specific illnesses are followed by step-by-step flowcharts outlining the diagnosis and treatment of the illness and its relevant differential diagnoses. Unique algorithmic approach Clinical vignettes accompany decision-making algorithms Flowcharts outline the diagnosis and treatment process

《中英合售》演算法 Introduction to the Design & Analysis of Algorithms

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【簡介】 【目錄】