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Deep learning and convolutional neural networks for medical imaging and clinical informatics

机译:医学成像和临床信息学的深度学习与卷积神经网络

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摘要

This book reviews deep learning research and applications "for medical imaging and clinical informatics." It specifically presents information about the implementation of deep learning and convolutional neural network (CNN) applications to medical imaging. It explores image segmentation, detection, localization applications, and data mining methods. Each chapter is written by a different set of authors. The chapters are written in the form of academic articles. Thus, the chapters present methods and the application of methods to medical images, and compare results with existing methods. This book can be a good source for scientists, researchers, engineers, or graduate students who have the required background in computer vision. They can use the book to expand their knowledge of medical imaging. The book was written using very up-to-date information. It will help to acquaint readers with the current literature in the field.
机译:本书评论深度学习研究和应用“为医学影像和临床信息学。” 它专门介绍了有关深度学习和卷积神经网络(CNN)应用的信息对医学成像。 它探讨了图像分割,检测,本地化应用程序和数据挖掘方法。 每章由一组不同的作者编写。 章节以学术文章的形式编写。 因此,章节存在对医学图像的方法和应用方法,并将结果与现有方法进行比较。 这本书可以是科学家,研究人员,工程师或在计算机愿景中有所需背景的研究生的好来源。 他们可以使用本书扩大他们对医学成像的知识。 这本书是使用最新信息编写的。 它将有助于熟悉当前文献中的读者。

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