Name: Introduction to Medical Image Analysis
Brand: Springer Verlag
SKU: 9783030393632
Price: 3158.0 INR
Availability: InStock

Introduction to Medical Image Analysis

by Paulsen , Rasmus R.

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ISBN13: 9783030393632
Binding: Paperback
Subject: Computer Science and Information Technology
Publisher: Springer Verlag
Publisher Imprint: Springer Verlag
Publication Date: January 1, 2020
Pages: 196
Original Price: EUR 44.99
Language: English
Edition: N/A
Item Weight: 286 grams
BISAC Subject(s): Software Development & Engineering / Computer Graphics, Electronics / General, and Biochemistry

About The Book

From the Back Cover

This easy-to-follow textbook presents an engaging introduction to the fascinating world of medical image analysis. Avoiding an overly mathematical treatment, the text focuses on intuitive explanations, illustrating the key algorithms and concepts in a way which will make sense to students from a broad range of different backgrounds.

Topics and features:

Explains what light is, and how it can be captured by a camera and converted into an image, as well as how images can be compressed and stored
Describes basic image manipulation methods for understanding and improving image quality, and a useful segmentation algorithm
Reviews the basic image processing methods for segmenting or enhancing certain features in an image, with a focus on morphology methods for binary images
Examines how to detect, describe, and recognize objects in an image, and how the nature of color can be used for segmenting objects
Introduces a statistical method to determine what class of object the pixels in an image represent
Describes how to change the geometry within an image, how to align two images so that they are as similar as possible, and how to detect lines and paths in images
Provides further exercises and other supplementary material at an associated website

This concise and accessible textbook will be invaluable to undergraduate students of computer science, engineering, medicine, and any multi-disciplinary courses that combine topics on health with data science. Medical practitioners working with medical imaging devices will also appreciate this easy-to-understand explanation of the technology.

Dr. Rasmus R. Paulsen is an Associate Professor in the Department for Applied Mathematics and Computer Science of the Technical University of Denmark. Dr. Thomas B. Moeslund is a Professor and the Head of Media Technology at Aalborg University, Denmark, where he is also the Head of the Visual Analysis of People Laboratory. His other publications include the Springer titles Introduction to Video and Image Processing, Computer Vision in Sports, and Visual Analysis of Humans.

About The Author

Dr. Rasmus R. Paulsen is an Associate Professor at the Section for Image Analysis and Computer Graphics (IACG) in the Department for Applied Mathematics and Computer Science (DTU Compute) of the Technical University of Denmark (DTU).

Dr. Thomas B. Moeslund is a Professor at the Technical Faculty of IT and Design (TECH) of Aalborg University (AAU), Denmark, where he serves as Head of Media Technology and Head of the Visual Analysis of People Laboratory (VAP). His other publications include the Springer titles Introduction to Video and Image Processing, Computer Vision in Sports, and Visual Analysis of Humans.

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