Can I read Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics (Advances in Computer Vision and Pattern Recognition) on EtoBox?

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics (Advances in Computer Vision and Pattern Recognition) by Le Lü, (Of Johns Hopkins University); Xiaosong Wang, (Of NVIDIA Corporation); Gustavo Carneiro; Lin Yang is a nonfiction available to read on EtoBox.

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

This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ segmentation in medical image computing (radiological and pathological imaging modalities), and the construction and mining of large-scale radiology databases. It particularly focuses on the application of convolutional neural networks, and on recurrent neural networks like LSTM, using numerous practical examples to complement the theory.  The book’s chief features are as follows: It highlights how deep neural networks can be used to address new questions and protocols, and to tackle current challenges in medical image computing; presents a comprehensive review of the latest research and literature; and describes a range of different methods that employ deep learning for object or landmark detection tasks in 2D and 3D medical imaging. In addition, the book examines a broad selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to text and image deep embedding for a large-scale chest x-ray image database; and discusses how deep learning relational graphs can be used to orga

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

Author

Le Lü, (Of Johns Hopkins University); Xiaosong Wang, (Of NVIDIA Corporation); Gustavo Carneiro; Lin Yang

Publisher

Springer International Publishing : Imprint : Springer

Published

2019

Language

EN

ISBN

9783030139704

Category

nonfiction

Subjects

Medical, Computer Science, Mathematics