Deep Network Design for Medical Image Computing: Principles and Applications (The MICCAI Society book Series) - Image 1

£71.79

Academic Press Deep Network Design for Medical Image Computing: Principles and Applications (The MICCAI Society book Series)

Name: Deep Network Design for Medical Image Computing: Principles and Applications (The MICCAI Society book Series)
Brand: Academic Press
Price: 71.79 GBP
Availability: InStock

AI & Machine Learning

Pricier than usual. £12 more than the 30-day average — we'd wait.

£72 today · 30-day average £60 · all-time low £52

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 74 days · 74 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 74 days • 6 price levels

Days at Price

Current Price

Price Analysis

Most common price: £73 (15 days, 20.3%)

Price range: £52 - £75

Price levels: 6 different prices over 74 days

Description

Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses design principles of these tasks for deep learning approaches in medicine. These include skin disease classification, vertebrae identification and localization, cardiac ultrasound image segmentation, 2D/3D medical image registration for intervention, metal artifact reduction, sparse-view artifact reduction, etc. For each topic, the book provides a deep learning-based solution that takes into account the medical or biological aspect of the problem and how the solution addresses a variety of important questions surrounding architecture, the design of deep learning techniques, when to introduce adversarial learning, and more. This book will help graduate students and researchers develop a better understanding of the deep learning design principles for MIC and to apply them to their medical problems. Explains design principles of deep learning techniques for MIC Contains cutting-edge deep learning research on MIC Covers a broad range of MIC tasks, including the classification, detection, segmentation, registration, reconstruction and synthesis of medical images

Key Features

New Store Stock

Product Specifications

Brand: Academic Press
Format: paperback
ASIN: 012824383X
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 01 September 2022
Listed Since: 08 February 2022

Barcode

No barcode data available

Academic Press Deep Network Design for Medical Image Computing: Principles and Applications (The MICCAI Society book Series)

Pricier than usual. £12 more than the 30-day average — we'd wait.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics (Advances in Computer Vision and Pattern Recognition)

Computer Vision in Medical Imaging (Series in Computer Vision): 2

Topics in Medical Image Processing and Computational Vision: 8 (Lecture Notes in Computational Vision and Biomechanics, 8)

Advanced Machine Vision Paradigms for Medical Image Analysis (Hybrid Computational Intelligence for Pattern Analysis and Understanding)

Springer VipIMAGE 2019 - Medical Image Processing Proceedings

CRC Press Machine Learning for Medical Image Recognition Book

Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies: Volume II: 2

Brain Tumor MRI Image Segmentation Using Deep Learning Techniques

Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging: 140 (Intelligent Systems Reference Library, 140)

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis: Volume 4 (Advances in ubiquitous sensing applications for healthcare, Volume 4)

Imaging Genetics (The MICCAI Society book Series)

Developments in Medical Image Processing and Computational Vision: 19 (Lecture Notes in Computational Vision and Biomechanics, 19)

Sensors for Health Monitoring: Novel Sources for Drug Discovery: Volume 5 (Advances in ubiquitous sensing applications for healthcare, Volume 5)

Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing

Artificial Intelligence in Medical Imaging: From Theory to Clinical Practice

International Conference on Communication, Computing and Electronics Systems: Proceedings of ICCCES 2019: 637 (Lecture Notes in Electrical Engineering, 637)

Deep Learning in Medical Image Analysis: Challenges and Applications: 1213 (Advances in Experimental Medicine and Biology, 1213)

Biomedical Data Mining for Information Retrieval: Methodologies, Techniques, and Applications (Artificial Intelligence and Soft Computing for Industrial Transformation)

Meta Learning With Medical Imaging and Health Informatics Applications (The MICCAI Society book Series)

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, ... (Lecture Notes in Computer Science, 12264)

Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2 (Volume 20) (Handbook of Numerical Analysis, Volume 20)

Intelligent Learning for Computer Vision: Proceedings of Congress on Intelligent Systems 2020: 61 (Lecture Notes on Data Engineering and Communications Technologies, 61)

Medical Imaging Informatics: Machine learning, deep learning and big data analytics (Healthcare Technologies)

Computer Vision Methods for Fast Image Classiﬁcation and Retrieval: 821 (Studies in Computational Intelligence, 821)