English
资源说明：Foreword
Computational Medical Image Analysis has become a prominent field of research
at the intersection of Informatics, Computational Sciences, and Medicine, supported
by a vibrant community of researchers working in academics, industry, and clinical
centers.
During the past few years, Machine Learning methods have brought a revolution
to the Computer Vision community, introducing novel efficient solutions to many
image analysis problemsthat had long remained unsolved.For this revolution to enter
the field of Medical Image Analysis, dedicated methods must be designed which take
into account the specificity of medical images.
Indeed, medical images capture the anatomy and physiology of patients through
the measurements of geometrical, biophysical, and biochemical properties of their
living tissues. These images are acquired with algorithms that exploit complex med-
ical imaging processes whose principles must be well understood as well as those
governing the complex structures and functions of the human body.
The book Deep Learning for Medical Image Analysis edited by S. Kevin Zhou,
Hayit Greenspan, and Dinggang Shen, top-notch researchers from both academia and
industry in designing machine learning methods for medical image analysis, cov-
ers state-of-the-art reviews of deep learning approaches for medical image analysis,
including medical image detection/recognition, medical image segmentation, medi-
cal image registration, computer aided diagnosis and disease quantification, to name
some of the most important addressed problems. The book, which starts with an in-
troduction to Convolutional Neural Networks for Computer Vision presents a set of
novel deep learning methods applied to a variety of clinical problems and imaging
modalities operating at various scales, including X-ray radiographies, Magnetic Res-
onance Imaging, Computed Tomography, microscopic imaging, ultrasound imaging,
etc.
This impressive collection of excellent contributions will definitely serve and
inspire all the researchers interested in the development of new machine learning
methods in the rapidly evolving field of medical image analysis.
Nicholas Ayache, PhD
Inria, Sophia Antipolis, France
September 1, 2016
本源码包内暂不包含可直接显示的源代码文件，请下载源码包。
