Computer Vision In Medical Imaging (Hardcover)


The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.

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Product Description

The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.

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Product Details

General

Imprint

World Scientific Publishing Co Pte Ltd

Country of origin

Singapore

Series

Series in Computer Vision, 2

Release date

2014

Availability

Expected to ship within 12 - 17 working days

First published

October 2013

Editors

Dimensions

172 x 254 x 27mm (L x W x T)

Format

Hardcover

Pages

412

ISBN-13

978-981-4460-93-4

Barcode

9789814460934

Categories

LSN

981-4460-93-1



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