£99.37

Artificial Intelligence in Diffusion MRI: Enhanced Cuckoo Search Algorithm with Metaheuristic Components for Extracting the Maxima of the Orientation ... (Studies in Computational Intelligence, 877)

AI & Machine Learning

Price data last checked 179 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

This is the most expensive it has ever been. Walk away.

£99 today · previous high £99 · all-time low £93

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 552 days • 552 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 552 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £99 (482 days, 87.3%)

Price range: £93 - £99

Price levels: 3 different prices over 552 days

Description

This book focuses on the use of artificial intelligence to address a specific problem in the brain – the orientation distribution function. It discusses three aspects: (i) Preparing, enhancing and evaluating one of the cuckoo search algorithms (CSA); (ii) Describing the problem: Diffusion-weighted magnetic resonance imaging (DW-MRI) is used for non-invasive investigations of anatomical connectivity in the human brain, while Q-ball imaging (QBI) is a diffusion MRI reconstruction technique based on the orientation distribution function (ODF), which detects the dominant fiber orientations; however, ODF lacks local estimation accuracy along the path. (iii) Evaluating the performance of the CSA versions in solving the ODF problem using synthetic and real-world data. This book appeals to both postgraduates and researchers who are interested in the fields of medicine and computer science. From the Back Cover This book focuses on the use of artificial intelligence to address a specific problem in the brain – the orientation distribution function. It discusses three aspects: (i) Preparing, enhancing and evaluating one of the cuckoo search algorithms (CSA); (ii) Describing the problem: Diffusion-weighted magnetic resonance imaging (DW-MRI) is used for non-invasive investigations of anatomical connectivity in the human brain, while Q-ball imaging (QBI) is a diffusion MRI reconstruction technique based on the orientation distribution function (ODF), which detects the dominant fiber orientations; however, ODF lacks local estimation accuracy along the path. (iii) Evaluating the performance of the CSA versions in solving the ODF problem using synthetic and real-world data. This book appeals to both postgraduates and researchers who are interested in the fields of medicine and computer science.

Product Specifications

Format: paperback
ASIN: 3030360857
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 29 November 2020
Listed Since: 02 November 2020

Barcode

No barcode data available

Artificial Intelligence in Diffusion MRI: Enhanced Cuckoo Search Algorithm with Metaheuristic Components for Extracting the Maxima of the Orientation ... (Studies in Computational Intelligence, 877)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Artificial Intelligence in Diffusion MRI: Enhanced Cuckoo Search Algorithm with Metaheuristic Components for Extracting the Maxima of the Orientation ... (Studies in Computational Intelligence, 877)

Computational Diffusion MRI: MICCAI Workshop, Boston, MA, USA, September 2014 (Mathematics and Visualization)

Handbook of Diffusion MR Tractography: Imaging Methods, Biophysical Models, Algorithms and Applications

Computational Diffusion MRI: MICCAI Workshop, Québec, Canada, September 2017 (Mathematics and Visualization)

Computational Diffusion MRI: MICCAI Workshop, Québec, Canada, September 2017 (Mathematics and Visualization)

Magnetic Resonance Brain Imaging: Modelling and Data Analysis Using R (Use R!)

Diffusion MRI: From Quantitative Measurement to In Vivo Neuroanatomy

Diffusion-Weighted MR Imaging of the Brain, Head and Neck, and Spine

Advanced Image Processing in Magnetic Resonance Imaging: 27 (Signal Processing and Communications)

Diffusion-Weighted MR Imaging of the Brain, Head and Neck, and Spine

Statistical and Computational Methods in Brain Image Analysis: 1 (Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series)

Diffusion-Weighted MR Imaging of the Brain

Neuroimaging in Multiple Sclerosis (Neurology-laboratory and Clinical Research Developments)

Imaging Anatomy Brain and Spine

Statistical Parametric Mapping: The Analysis of Functional Brain Images

Computational Diffusion MRI: International MICCAI Workshop, Granada, Spain, September 2018 (Mathematics and Visualization)

Neuroimaging Anatomy, Part 1: Brain and Skull, An Issue of Neuroimaging Clinics of North America (Volume 32-3) (The Clinics: Internal Medicine, Volume 32-3)

Functional Neuroimaging Methods and Frontiers (Neuroscience Research Progress)

Functional Neuroradiology: Principles and Clinical Applications

Introduction to Neuroimaging Analysis (Oxford Neuroimaging Primers)

Neuroimaging Pharmacopoeia

Brain Imaging: Case Review Series

CT and MRI of Skull Base Lesions: A Diagnostic Guide

Quality Control and Artefacts in Magnetic Resonance Imaging