Buy Handbook Of Texture Analysis: AI-Based Medical Imaging Applications [Hardback]

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Handbook of Texture Analysis: AI-Based Medical Imaging Applications [Hardback]

In particular, deep learning convolutional neural networks (CNNs) are particularly well suited to texture analysis. This book.

155.40$ Buy It Now

Item	387107497645
Seller	simplybestprices-10to20dayshipping ( 476662 ⭐ ) 98.1% Location: Hillsdale, AU, NSW Accept Payments With ,
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Condition	Brand New
EAN	9780367483456
UPC	9780367483456
ISBN	9780367483456
Format	Hardback, 248 pages
Author	Ayman El-Baz (Edited by)
Book Title	Handbook of Texture Analysis: AI-Based Medical Ima
Item Height	1.6 cm
Item Length	23.4 cm
Item Weight	0.65 kg
Item Width	15.6 cm
Language	Eng
Publisher	CRC Press

The major goals of texture research in computer vision are to understand, model, and process texture and, ultimately, to simulate the human visual learning process using computer technologies. In the last decade, artificial intelligence has been revolutionized by machine learning and big data approaches, outperforming human prediction on a wide range of problems. In particular, deep learning convolutional neural networks (CNNs) are particularly well suited to texture analysis. This volume presents important branches of texture analysis methods which find a proper application in AI-based medical image analysis. This book:

Discusses first-order, second-order statistical methods, local binary pattern (LBP) methods, and filter bank-based methodsCovers spatial frequency-based methods, Fourier analysis, Markov random fields, Gabor filters, and Hough transformationDescribes advanced textural methods based on DL as well as BD and advanced applications of texture to medial image segmentationIs aimed at researchers, academics, and advanced students in biomedical engineering, image analysis, cognitive science, and computer science and engineering

This is an essential reference for those looking to advance their understanding in this applied and emergent field.

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