Deep Learning for Medical Image Analysis

Written By S. Kevin Zhou
Deep Learning for Medical Image Analysis
  • Publsiher : Academic Press
  • Release : 30 January 2017
  • ISBN : 9780128104088
  • Pages : 458 pages
  • Rating : /5 from reviews
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Download or read book entitled Deep Learning for Medical Image Analysis by author: S. Kevin Zhou which was release on 30 January 2017 and published by Academic Press with total page 458 pages . This book available in PDF, EPUB and Kindle Format. 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. Covers common research problems in medical image analysis and their challenges Describes deep learning methods and the theories behind approaches for medical image analysis Teaches how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. Includes a Foreword written by Nicholas Ayache

Deep Learning for Medical Image Analysis

Deep Learning for Medical Image Analysis
  • Author : S. Kevin Zhou,Dinggang Shen,Hayit Greenspan
  • Publisher : Academic Press
  • Release Date : 2017-01-30
  • Total pages : 458
  • ISBN : 9780128104088
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Summary : 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 ...

Deep Learning and Convolutional Neural Networks for Medical Image Computing

Deep Learning and Convolutional Neural Networks for Medical Image Computing
  • Author : Le Lu,Yefeng Zheng,Gustavo Carneiro,Lin Yang
  • Publisher : Springer
  • Release Date : 2017-07-12
  • Total pages : 326
  • ISBN : 9780128104088
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Summary : This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. ...

Machine Learning and Medical Imaging

Machine Learning and Medical Imaging
  • Author : Guorong Wu
  • Publisher : Academic Press
  • Release Date : 2016-08-19
  • Total pages : 512
  • ISBN : 9780128104088
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Summary : "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 ...

Deep Learning Models for Medical Imaging

Deep Learning Models for Medical Imaging
  • Author : K.C. Santosh,Nibaran Das,Swarnendu Ghosh
  • Publisher : Academic Press
  • Release Date : 2021-01-15
  • Total pages : 180
  • ISBN : 9780128104088
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Summary : Deep Learning Models for Medical Imaging is suitable for computer science, medical imaging and biomedical engineering researchers and students who need up-to-date deep learning tools to apply to medical image analysis problems. The book presents deep learning concepts and modeling as applied to medical imaging and/or healthcare, using two ...

Deep Learning Models for Medical Imaging

Deep Learning Models for Medical Imaging
  • Author : K.C. Santosh,Nibaran Das,Swarnendu Ghosh
  • Publisher : Academic Press
  • Release Date : 2021-01-01
  • Total pages : 180
  • ISBN : 9780128104088
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Summary : Deep Learning Models for Medical Imaging is suitable for computer science, medical imaging and biomedical engineering researchers and students who need up-to-date deep learning tools to apply to medical image analysis problems. The book presents deep learning concepts and modeling as applied to medical imaging and/or healthcare, using two ...

Deep Learning in Medical Image Analysis

Deep Learning in Medical Image Analysis
  • Author : Gobert Lee,Hiroshi Fujita
  • Publisher : Springer Nature
  • Release Date : 2020-02-06
  • Total pages : 181
  • ISBN : 9780128104088
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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 ...

Medical Imaging

Medical Imaging
  • Author : K.C. Santosh,Sameer Antani,DS Guru,Nilanjan Dey
  • Publisher : CRC Press
  • Release Date : 2019-08-20
  • Total pages : 238
  • ISBN : 9780128104088
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Summary : The book discusses varied topics pertaining to advanced or up-to-date techniques in medical imaging using artificial intelligence (AI), image recognition (IR) and machine learning (ML) algorithms/techniques. Further, coverage includes analysis of chest radiographs (chest x-rays) via stacked generalization models, TB type detection using slice separation approach, brain tumor image ...

Understanding and Interpreting Machine Learning in Medical Image Computing Applications

Understanding and Interpreting Machine Learning in Medical Image Computing Applications
  • Author : Danail Stoyanov,Zeike Taylor,Seyed Mostafa Kia,Ipek Oguz,Mauricio Reyes,Anne Martel,Lena Maier-Hein,Andre F. Marquand,Edouard Duchesnay,Tommy Löfstedt,Bennett Landman,M. Jorge Cardoso,Carlos A. Silva,Sergio Pereira,Raphael Meier
  • Publisher : Springer
  • Release Date : 2018-10-23
  • Total pages : 149
  • ISBN : 9780128104088
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Summary : This book constitutes the refereed joint proceedings of the First International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2018, the First International Workshop on Deep Learning Fails, DLF 2018, and the First International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2018, held in conjunction with the 21st International ...

Enhancing Medical Imaging Workflows with Deep Learning

Enhancing Medical Imaging Workflows with Deep Learning
  • Author : Ken Chang (Ph. D.)
  • Publisher : Unknown
  • Release Date : 2020
  • Total pages : 232
  • ISBN : 9780128104088
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Summary : The last few years mark a significant leap in the capability of algorithms with the advent of deep learning. While conventional machine learning has existed for decades, their utility has been rather limited, requiring considerable engineering and domain expertise to design pertinent data features that can be extracted from raw ...

Medical Image Computing and Computer Assisted Intervention MICCAI 2015

Medical Image Computing and Computer Assisted Intervention     MICCAI 2015
  • Author : Nassir Navab,Joachim Hornegger,William M. Wells,Alejandro Frangi
  • Publisher : Springer
  • Release Date : 2015-09-28
  • Total pages : 780
  • ISBN : 9780128104088
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Summary : The three-volume set LNCS 9349, 9350, and 9351 constitutes the refereed proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015, held in Munich, Germany, in October 2015. Based on rigorous peer reviews, the program committee carefully selected 263 revised papers from 810 submissions for presentation in three volumes. The papers have ...

Machine Learning in Medical Imaging

Machine Learning in Medical Imaging
  • Author : Yinghuan Shi,Heung-Il Suk,Mingxia Liu
  • Publisher : Springer
  • Release Date : 2018-09-14
  • Total pages : 409
  • ISBN : 9780128104088
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Summary : This book constitutes the proceedings of the 9th International Workshop on Machine Learning in Medical Imaging, MLMI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018. The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They focus on major trends and challenges in the area ...

Deep Learning and Data Labeling for Medical Applications

Deep Learning and Data Labeling for Medical Applications
  • Author : Gustavo Carneiro,Diana Mateus,Peter Loïc,Andrew Bradley,João Manuel R. S. Tavares,Vasileios Belagiannis,João Paulo Papa,Jacinto C. Nascimento,Marco Loog,Zhi Lu,Jaime S. Cardoso,Julien Cornebise
  • Publisher : Springer
  • Release Date : 2016-09-27
  • Total pages : 280
  • ISBN : 9780128104088
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Summary : This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2016, and the Second International Workshop on Deep Learning ...

Medical Image Recognition Segmentation and Parsing

Medical Image Recognition  Segmentation and Parsing
  • Author : S. Kevin Zhou
  • Publisher : Academic Press
  • Release Date : 2015-12-11
  • Total pages : 542
  • ISBN : 9780128104088
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Summary : This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of- the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a ...

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis
  • Author : Nilanjan Dey
  • Publisher : Academic Press
  • Release Date : 2019-07-31
  • Total pages : 218
  • ISBN : 9780128104088
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Summary : Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided ...

Big Data Analytics

Big Data Analytics
  • Author : Sanjay Madria,Philippe Fournier-Viger,Sanjay Chaudhary,P. Krishna Reddy
  • Publisher : Springer Nature
  • Release Date : 2020-02-10
  • Total pages : 462
  • ISBN : 9780128104088
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Summary : This book constitutes the refereed proceedings of the 7th International Conference on Big Data analytics, BDA 2019, held in Ahmedabad, India, in December 2019. The 25 papers presented in this volume were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; search ...