Automated Brain Lesion Detection and Segmentation Using MR Images - Image 1

£73.00

It has never been this cheap. We have no record of a lower price.

£73 today · cheaper than every other day in the last 3 months

LAP Lambert Academic Publishing Automated Brain Lesion Detection and Segmentation Using MR Images

Name: Automated Brain Lesion Detection and Segmentation Using MR Images
Brand: LAP Lambert Academic Publishing
Price: 73.0 GBP
Availability: InStock

Computing & Internet

Price data last checked 36 day(s) ago - refreshing...

View at Amazon

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

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

Last 55 days · 55 data points (no recent data)

Price data last checked 36 day(s) ago - refreshing...

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 Distribution

Price distribution over 55 days • 1 price levels

Days at Price

Price Analysis

Most common price: £73 (55 days, 100.0%)

Price range: £73 - £73

Price levels: 1 different prices over 55 days

Description

Computer vision and machine learning allows the image data to be seen by a computer or machine as a person would see it. This is a complex concept for a computer to comprehend since computers do not understand the three-dimensional perspective as a person views and understands it. Computer vision has variety of applications in industry, medicine, surveillance systems, video analysis, robotic, and etc. Image segmentation is one of the most challenging topics in computer vision and machine learning. As an application of image segmentation in biomedical research is to localize some specific cells and tissues, e.g., tumor or stroke in magnetic resonance images (MRI). Medical image segmentation helps physicians to find these lesions more accurately, and it can be great source of information in emergency cases that specialist is not available. Therefore, it is an important process in computerized medical imaging. Automated segmentation of brain lesions in MRI is a difficult procedure due to the variability and complexity of the location, size, shape, and texture of these lesions. This study presents four algorithms for brain lesion detection and segmentation using MR images.

Product Specifications

Brand: LAP Lambert Academic Publishing
Format: paperback
ASIN: 3659717320
Category: Books > Subjects > Computing & Internet
Domain: Amazon UK
Release Date: 27 July 2015
Listed Since: 19 August 2015

Barcode

No barcode data available

It has never been this cheap. We have no record of a lower price.

LAP Lambert Academic Publishing Automated Brain Lesion Detection and Segmentation Using MR Images

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Brain MR Image Segmentation: An AI Based Approach

Segmentation Using Hybrid Clustering Algorithms: Hybrid Clustering Algorithms to Detect Brain Tumor From MRI Images

Analysis of Dynamic Contrast Enhanced MRI Datasets

Computer aid to diagnostic in ?epilepsy and ?Alzheimer's disease: Systems and methods for neuroimaging analysis

Brain Tumor Segmentation Methods: Multi Model Segmentation Approach

The Detection of Neuronal Activity By Dendrite Currents Using MRI: MRI Signal Projection

Brain Image Enhancement Techniques: Noise Removal, Contrast Enhancement, Abnormal Detection.Part 2

Radial Vector Representation of Magnetic Resonance Image (MRI) data: Simulation of Realistic Head Geometry Using Radial Vector Representation of Magnetic Resonance Image (MRI) data

New Methods of Source Reconstruction for Magnetoencephalography: Combination of Pattern Recognition & Medical Imaging

Machine Learning in MRI: From Methods to Clinical Translation: Volume 13 (Advances in Magnetic Resonance Technology and Applications, Volume 13)

Metacognition and Attention Activation

MACHINE LEARNING: PRINCIPLES AND ITS APPLICATIONS

Functional Magnetic Resonance Imaging - Advanced Neuroimaging Applications

Analysis of Emotional States from EEG signal

Predictors of Long Term Outcome Following Traumatic Brain Injury

Data Driven Synthesis of Composite-Feature Detectors: Application to the Analysis of Volumetric Imaging

Advances in Brain Imaging

Artificial Reasoning Systems: Theory and Medical Applications

Deep Learning Assessment of Neurological Imaging

Recognition of Colors in EEG: Planning Towards Brain-Computer Interface Applications

Pathophilosophy of Human Disease - Neuropsychiatric Disease

Artificial Intelligence in Brain Disorders: Innovations in Diagnosis and Treatment

High-Resolution Neuroimaging - Basic Physical Principles and Clinical Applications

Artificial Intelligence in Image Processing: Concepts, Techniques and Applications

It has never been this cheap. We have no record of a lower price.

LAP Lambert Academic Publishing Automated Brain Lesion Detection and Segmentation Using MR Images

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Brain MR Image Segmentation: An AI Based Approach

Segmentation Using Hybrid Clustering Algorithms: Hybrid Clustering Algorithms to Detect Brain Tumor From MRI Images

Analysis of Dynamic Contrast Enhanced MRI Datasets

Computer aid to diagnostic in ?epilepsy and ?Alzheimer's disease: Systems and methods for neuroimaging analysis

Brain Tumor Segmentation Methods: Multi Model Segmentation Approach

The Detection of Neuronal Activity By Dendrite Currents Using MRI: MRI Signal Projection

Brain Image Enhancement Techniques: Noise Removal, Contrast Enhancement, Abnormal Detection.Part 2

Radial Vector Representation of Magnetic Resonance Image (MRI) data: Simulation of Realistic Head Geometry Using Radial Vector Representation of Magnetic Resonance Image (MRI) data

New Methods of Source Reconstruction for Magnetoencephalography: Combination of Pattern Recognition & Medical Imaging

Machine Learning in MRI: From Methods to Clinical Translation: Volume 13 (Advances in Magnetic Resonance Technology and Applications, Volume 13)

Metacognition and Attention Activation

MACHINE LEARNING: PRINCIPLES AND ITS APPLICATIONS

Functional Magnetic Resonance Imaging - Advanced Neuroimaging Applications

Analysis of Emotional States from EEG signal

Predictors of Long Term Outcome Following Traumatic Brain Injury

Data Driven Synthesis of Composite-Feature Detectors: Application to the Analysis of Volumetric Imaging

Advances in Brain Imaging

Artificial Reasoning Systems: Theory and Medical Applications

Deep Learning Assessment of Neurological Imaging

Recognition of Colors in EEG: Planning Towards Brain-Computer Interface Applications

Pathophilosophy of Human Disease - Neuropsychiatric Disease

Artificial Intelligence in Brain Disorders: Innovations in Diagnosis and Treatment

High-Resolution Neuroimaging - Basic Physical Principles and Clinical Applications

Artificial Intelligence in Image Processing: Concepts, Techniques and Applications