Machine Learning and Medical Imaging Book [PDF] Download

Download the fantastic book titled Machine Learning and Medical Imaging written by Guorong Wu, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Machine Learning and Medical Imaging", which was released on 11 August 2016. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.

Summary of Machine Learning and Medical Imaging by Guorong Wu PDF

Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the second part leading research groups around the world present a wide spectrum of machine learning methods with application to different medical imaging modalities, clinical domains, and organs. The biomedical imaging modalities include ultrasound, magnetic resonance imaging (MRI), computed tomography (CT), histology, and microscopy images. The targeted organs span the lung, liver, brain, and prostate, while there is also a treatment of examining genetic associations. Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians. Demonstrates the application of cutting-edge machine learning techniques to medical imaging problems Covers an array of medical imaging applications including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics Features self-contained chapters with a thorough literature review Assesses the development of future machine learning techniques and the further application of existing techniques


Detail About Machine Learning and Medical Imaging PDF

  • Author : Guorong Wu
  • Publisher : Academic Press
  • Genre : Technology & Engineering
  • Total Pages : 512 pages
  • ISBN : 0128041145
  • PDF File Size : 25,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Machine Learning and Medical Imaging

Machine Learning and Medical Imaging
  • Publisher : Academic Press
  • File Size : 53,6 Mb
  • Release Date : 11 August 2016
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Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic

Learning Radiology

Learning Radiology
  • Publisher : Saunders
  • File Size : 25,9 Mb
  • Release Date : 16 April 2015
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A must-have for anyone who will be required to read and interpret common radiologic images, Learning Radiology: Recognizing the Basics is an image-filled, practical, and easy-to-read introduction to key imaging

The Practice of Radiology Education

The Practice of Radiology Education
  • Publisher : Springer Science & Business Media
  • File Size : 25,6 Mb
  • Release Date : 13 October 2009
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The practice of radiology education: challenges and trends will provide truly helpful gu- ance for those of you involved in teaching and training in radiology. The goal of this book

Deep Learning Models for Medical Imaging

Deep Learning Models for Medical Imaging
  • Publisher : Academic Press
  • File Size : 29,8 Mb
  • Release Date : 07 September 2021
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Deep Learning Models for Medical Imaging explains the concepts of Deep Learning (DL) and its importance in medical imaging and/or healthcare using two different case studies: a) cytology image

Learning Diagnostic Imaging

Learning Diagnostic Imaging
  • Publisher : Springer Science & Business Media
  • File Size : 31,9 Mb
  • Release Date : 06 November 2008
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This book is an introduction to diagnostic radiology (including nuclear medicine). Written in a user-friendly format, it takes into account that radiology is divided into many subspecialties that constitute a

Machine Learning in Medical Imaging

Machine Learning in Medical Imaging
  • Publisher : Springer Nature
  • File Size : 39,5 Mb
  • Release Date : 02 October 2020
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This book constitutes the proceedings of the 11th International Workshop on Machine Learning in Medical Imaging, MLMI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The conference was

Core Radiology

Core Radiology
  • Publisher : Cambridge University Press
  • File Size : 35,5 Mb
  • Release Date : 19 September 2013
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Combines clinical images, full-color illustrations and bulleted text to create a comprehensive, up-to-date resource for learning and review.

Deep Learning in Medical Image Analysis

Deep Learning in Medical Image Analysis
  • Publisher : Springer Nature
  • File Size : 34,5 Mb
  • Release Date : 06 February 2020
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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

Learning Radiology

Learning Radiology
  • Publisher : Elsevier Health Sciences
  • File Size : 31,8 Mb
  • Release Date : 14 April 2011
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Learning Radiology: Recognizing the Basics, 2nd Edition, is an image-filled, practical, and clinical introduction to this integral part of the diagnostic process. William Herring, MD, a skilled radiology teacher, masterfully

Deep Learning Applications in Medical Imaging

Deep Learning Applications in Medical Imaging
  • Publisher : IGI Global
  • File Size : 35,5 Mb
  • Release Date : 16 October 2020
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Before the modern age of medicine, the chance of surviving a terminal disease such as cancer was minimal at best. After embracing the age of computer-aided medical analysis technologies, however,