/ edited by S. Kevin Zhou, Hayit Greenspan, Dinggang Shen
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
London ;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. (some col.)
ابعاد
; 24 cm.
فروست
عنوان فروست
(Elsevier and MICCAI Society book series)
يادداشت کلی
متن يادداشت
Language: انگلیسی
یادداشتهای مربوط به نشر، بخش و غیره
متن يادداشت
Print
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and index.
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. "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"--provided by publisher.