logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Deep Learning For Medical Image Analysis 2nd Edition 2nd S Kevin Zhou

  • SKU: BELL-53941008
Deep Learning For Medical Image Analysis 2nd Edition 2nd S Kevin Zhou
$ 31.00 $ 45.00 (-31%)

4.1

10 reviews

Deep Learning For Medical Image Analysis 2nd Edition 2nd S Kevin Zhou instant download after payment.

Publisher: Academic Press
File Extension: PDF
File size: 23.47 MB
Pages: 544
Author: S. Kevin Zhou, Hayit Greenspan, Dinggang Shen
ISBN: 9780323851244, 032385124X
Language: English
Year: 2023
Edition: 2nd

Product desciption

Deep Learning For Medical Image Analysis 2nd Edition 2nd S Kevin Zhou by S. Kevin Zhou, Hayit Greenspan, Dinggang Shen 9780323851244, 032385124X instant download after payment.

Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Deep learning provides exciting solutions for medical image analysis problems and is 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 are applied to medical image detection, segmentation, registration, and computer-aided analysis.

Related Products