Undergraduate topics in computer science - 9783030393632 - introduction to medical image analysis di paulsen, rasmus r.; moeslund, thomas b. (23 risultati)
Lingua: Inglese
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Paperback. Condizione: Brand New. 196 pages. 9.25x6.10x0.46 inches. In Stock.
Lingua: Inglese
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 pixelsin 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.
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 77 di 99 - Undergraduate Topics in Computer Science
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Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if t…he Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Lingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2020
Serie: Libro 77 di 99 - Undergraduate Topics in Computer Science
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Paperback. Condizione: New. 2020 ed. 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 fro…m 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 pixelsin 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.
Altre immaginiLingua: Inglese
Editore: Springer, 2020
Serie: Libro 77 di 99 - Undergraduate Topics in Computer Science
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Taschenbuch. Condizione: Neu. Introduction to Medical Image Analysis | Rasmus R. Paulsen (u. a.) | Taschenbuch | Undergraduate Topics in Computer Science | x | Englisch | 2020 | Springer | EAN 9783030393632 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]spr…inger[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 77 di 99 - Undergraduate Topics in Computer Science
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Condizione: new. Questo è un articolo print on demand.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 algorith…ms 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. 196 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing, 2020
Serie: Libro 77 di 99 - Undergraduate Topics in Computer Science
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Easily accessible even to those who do not have a strong mathematical backgroundOffers a concise introductory treatmentSimply explains and clearly illustrates the key algorithms and conceptsD…r. Rasmus R. Paulsen is .
Lingua: Inglese
Editore: Springer, Springer Mai 2020, 2020
Serie: Libro 77 di 99 - Undergraduate Topics in Computer Science
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 a…nd 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 pixelsin 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 196 pp. Englisch.
