Deep Learning in Medical Image Analysis is popular PDF and ePub book, written by Gobert Lee in 2020-02-06, it is a fantastic choice for those who relish reading online the Medical genre. Let's immerse ourselves in this engaging Medical book by exploring the summary and details provided below. Remember, Deep Learning in Medical Image Analysis can be Read Online from any device for your convenience.
Deep Learning in Medical Image Analysis Book PDF Summary
This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.
Detail Book of Deep Learning in Medical Image Analysis PDF
- Author : Gobert Lee
- Release : 06 February 2020
- Publisher : Springer Nature
- ISBN : 9783030331283
- Genre : Medical
- Total Page : 184 pages
- Language : English
- PDF File Size : 9,8 Mb
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