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Fundamentals of Digital Imaging in Medicine
Fundamentals of Digital Imaging in Medicine
There was a time not so long ago, well within the memory of many of us, when medical imaging was an analog process in which X-rays, or reflected ultrasound signals, exiting from a patient were intercepted by a detector, and their intensity depicted as bright spots on a fluorescent screen or dark areas in a photographic film. The...
Brain Dynamics: An Introduction to Models and Simulations (Springer Series in Synergetics)
Brain Dynamics: An Introduction to Models and Simulations (Springer Series in Synergetics)

This is an excellent introduction for graduate students and nonspecialists to the field of mathematical and computational neurosciences. The book approaches the subject via pulsed-coupled neural networks, which have at their core the lighthouse and integrate-and-fire models. These allow for highly flexible modeling of realistic synaptic...

Steding's and Virágh's Scanning Electron Microscopy Atlas of the Developing Human Heart
Steding's and Virágh's Scanning Electron Microscopy Atlas of the Developing Human Heart

This atlas comprises a complete and extensive exposure of the spatial and temporal aspects of human cardiac development as seen with scanning electron microscopy. Apart from serving as a unique overview on cardiac development in the human embryo, this atlas gives an updated morphological reference of cardiac embryology for topographic...

Atlas of the Sensory Organs: Functional and Clinical Anatomy
Atlas of the Sensory Organs: Functional and Clinical Anatomy

A richly illustrated medical atlas of the five main human sensory systems together with their neural pathways, from primary sensation to processing by the brain. The authors provide a detailed anatomical survey of each sensory organ, covering their ontogeny (development), central pathways, and functional mechanisms. Highlights include...

Advanced Analytics with Spark: Patterns for Learning from Data at Scale
Advanced Analytics with Spark: Patterns for Learning from Data at Scale

In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example.

You’ll start with an...

Sequence Data Mining (Advances in Database Systems)
Sequence Data Mining (Advances in Database Systems)
Sequences are an important type of data which occur frequently in many scientific, medical, security, business and other applications. For example, DNA sequences encode the genetic makeup of humans and all species, and protein sequences describe the amino acid composition of proteins and encode the structure and function of...
T-SQL Fundamentals (3rd Edition)
T-SQL Fundamentals (3rd Edition)

Effectively query and modify data using Transact-SQL
Master T-SQL fundamentals and write robust code for Microsoft SQL Server and Azure SQL Database. Itzik Ben-Gan explains key T-SQL concepts and helps you apply your knowledge with hands-on exercises. The book first introduces
...

Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health (Use R!)
Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health (Use R!)
As an area of statistical application, environmental epidemiology and more speci cally, the estimation of health risk associated with the exposure to - vironmental agents, has led to the development of several statistical methods and software that can then be applied to other scienti c areas. The stat- tical analyses aimed at addressing...
Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition
Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition
Now updated—the systematic introductory guide to modern analysis of large data sets

As data sets continue to grow in size and complexity, there has been an inevitable move towards indirect, automatic, and intelligent data analysis in which the analyst works via more complex and sophisticated software tools. This book...

Bayesian Networks in R: with Applications in Systems Biology (Use R!)
Bayesian Networks in R: with Applications in Systems Biology (Use R!)
While there have been significant advances in capturing data from the entities across complex real-world systems, their associations and relationships are largely unknown. Associations between the entities may reveal interesting system-level properties that may not be apparent otherwise. Often these associations are hypothesized...
Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym

Leverage the power of reinforcement learning techniques to develop self-learning systems using TensorFlow

Key Features

  • Explore reinforcement learning concepts and their implementation using TensorFlow
  • Discover different problem-solving methods for reinforcement...
The Lithosphere Beneath the Indian Shield: A Geodynamic Perspective (Modern Approaches in Solid Earth Sciences, 20)
The Lithosphere Beneath the Indian Shield: A Geodynamic Perspective (Modern Approaches in Solid Earth Sciences, 20)

This book explores the geotectonic evolution of the lithosphere beneath the Indian Shield, which comprises a collage of cratons variously bounded by mobile belts and palaeo-rifts. The lithosphere beneath these is fairly thin compared to other cratons worldwide, petrologically varied and shows considerable variation in thickness with...

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