Deep Learning and Convolutional Neural Networks for Medical Image Computing

Name: Deep Learning and Convolutional Neural Networks for Medical Image Computing
Brand: Springer International Publishing AG
SKU: 9783319827131
Price: 167.86 EUR
Availability: InStock

Precision Medicine, High Performance and Large-Scale Datasets

Автор: Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang

Език:

Корици: С меки корици

Издател: Springer International Publishing AG

Наличност: Външен склад

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167.86 € 328.31 лв

This book presents a detailed review of the state of the art in deep learning approaches for semanti...

Информация за книгата

Автор

Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang

Език

Английски език

Корици

Книга - С меки корици

Издадена

2018

страници

326

EAN

9783319827131

Enbook ID

20118842

Издател

Springer International Publishing AG

Теглоt

580

Размери

232 x 155 x 25

Пълно описание

This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. Features: highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in medical image computing; discusses the insightful research experience of Dr. Ronald M. Summers; presents a comprehensive review of the latest research and literature; describes a range of different methods that make use of deep learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.

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Deep Learning and Convolutional Neural Networks for Medical Image Computing

Precision Medicine, High Performance and Large-Scale Datasets

Информация за книгата

Пълно описание

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