\ edited by S. Kevin Zhou, Hayit Greenspan, Dinggang Shen
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
;San Diego
نام ناشر، پخش کننده و غيره
: Elsevier/Academic Press
تاریخ نشرو بخش و غیره
, 2017
مشخصات ظاهری
نام خاص و کميت اثر
xxiii, 433 p.
ساير جزييات
:ill.
ابعاد
;24 cm.
فروست
عنوان فروست
Elsevier and MICCAI Society book series
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Index
متن يادداشت
Bibliography
یادداشتهای مربوط به مندرجات
متن يادداشت
Introduction -- Medical Image Detection and recognition -- Medical image segmentation -- Medical image registration -- Computer-aided diagnosis and disease quantification -- Others.
بدون عنوان
0
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
"Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas. Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis"--