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Advancement of Machine Intelligence in Interactive Medical Image Analysis (Algorithms for Intelligent Systems)

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The book discusses major technical advances and research findings in the field of machine intelligence in medical image analysis. It examines the latest technologies and that have been implemented in clinical practice, such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy. This book provides insights into the basic science involved in processing, analysing, and utilising all aspects of advanced computational intelligence in medical decision-making based on medical imaging.
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Applied Mathematical Analysis: Theory, Methods, and Applications (Studies in Systems, Decision and Control)
Applied Mathematical Analysis: Theory, Methods, and Applications (Studies in Systems, Decision and Control)

This book addresses key aspects of recent developments in applied mathematical analysis and its use. It also highlights a broad range of applications from science, engineering, technology and social perspectives. Each chapter investigates selected research problems and presents a balanced mix of theory, methods and...

Lattice-Based Public-Key Cryptography in Hardware (Computer Architecture and Design Methodologies)
Lattice-Based Public-Key Cryptography in Hardware (Computer Architecture and Design Methodologies)
This book describes the efficient implementation of public-key cryptography (PKC) to address the security challenges of massive amounts of information generated by the vast network of connected devices, ranging from tiny Radio Frequency Identification (RFID) tags to powerful desktop computers. It investigates implementation aspects of post...
Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis
Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision theory from a statistical perspective. It covers both traditional approaches, in terms of value theory and expected utility theory, and recent developments, in terms of causal...


Quick Start Guide to Dart Programming: Create High-Performance Applications for the Web and Mobile
Quick Start Guide to Dart Programming: Create High-Performance Applications for the Web and Mobile

Get started with Dart and learn to program with this language suitable for high-performing, modern applications. You'll gain the basics and be ready to move to the next level: web and mobile apps. While you won't learn the specifics of programming web and mobile apps, you will have the foundation to take your Dart skills in...

Learn Java with Math: Using Fun Projects and Games
Learn Java with Math: Using Fun Projects and Games
There are many good Java programming books on the market, but it's not easy to find one fit for a beginner. This book simplifies the complexity of Java programming and guides you through the journey to effectively work under the hood. 

You'll start with the fundamentals of Java programming and...
Bayesian Hierarchical Models: With Applications Using R, Second Edition
Bayesian Hierarchical Models: With Applications Using R, Second Edition

An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections. Through illustrative data analysis...

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