Deep Learning for Medical Image Analysis

Written By S. Kevin Zhou
Deep Learning for Medical Image Analysis
  • Publsiher : Academic Press
  • Release : 18 January 2017
  • ISBN : 0128104090
  • 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 18 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,Hayit Greenspan,Dinggang Shen
  • Publisher : Academic Press
  • Release Date : 2017-01-18
  • Total pages : 458
  • ISBN : 0128104090
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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 in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
  • Author : M. Jorge Cardoso,Tal Arbel,Gustavo Carneiro,Tanveer Syeda-Mahmood,João Manuel R.S. Tavares,Mehdi Moradi,Andrew Bradley,Hayit Greenspan,João Paulo Papa,Anant Madabhushi,Jacinto C. Nascimento,Jaime S. Cardoso,Vasileios Belagiannis,Zhi Lu
  • Publisher : Springer
  • Release Date : 2017-09-07
  • Total pages : 385
  • ISBN : 0128104090
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Summary : This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Qué...

Deep Learning in Medical Image Analysis

Deep Learning in Medical Image Analysis
  • Author : Gobert Lee,Hiroshi Fujita (Computer scientist)
  • Publisher : Unknown
  • Release Date : 2020
  • Total pages : 181
  • ISBN : 0128104090
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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 ...

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 : 0128104090
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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 ...

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 : 0128104090
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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 ...

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 : 0128104090
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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 ...

Medical Image Recognition Segmentation and Parsing

Medical Image Recognition  Segmentation and Parsing
  • Author : Kevin Zhou
  • Publisher : Academic Press
  • Release Date : 2015-12-01
  • Total pages : 542
  • ISBN : 0128104090
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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 ...

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 : 0128104090
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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. ...

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics
  • Author : Le Lu,Xiaosong Wang,Gustavo Carneiro,Lin Yang
  • Publisher : Springer Nature
  • Release Date : 2019-09-19
  • Total pages : 461
  • ISBN : 0128104090
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Summary : This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ segmentation in medical image computing (radiological and pathological imaging modalities), and the construction and mining of large-scale radiology databases. It particularly focuses on the application of convolutional neural networks, ...

Deep Learning for COVID Image Analysis

Deep Learning for COVID Image Analysis
  • Author : Hayit Greenspan,S. Kevin Zhou
  • Publisher : Academic Press
  • Release Date : 2021-10-15
  • Total pages : 350
  • ISBN : 0128104090
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Summary : Medical imaging is playing a role in the fight against COVID-19, in some countries as a key tool, from the screening and diagnosis through the entire treatment procedure. The extraordinarily rapid spread of this pandemic has demonstrated that a new disease entity with a subset of relatively unique characteristics can ...

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
  • Author : Danail Stoyanov,Zeike Taylor,Gustavo Carneiro,Tanveer Syeda-Mahmood,Anne Martel,Lena Maier-Hein,João Manuel R.S. Tavares,Andrew Bradley,João Paulo Papa,Vasileios Belagiannis,Jacinto C. Nascimento,Zhi Lu,Sailesh Conjeti,Mehdi Moradi,Hayit Greenspan,Anant Madabhushi
  • Publisher : Springer
  • Release Date : 2018-09-19
  • Total pages : 387
  • ISBN : 0128104090
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Summary : This book constitutes the refereed joint proceedings of the 4th International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2018, and the 8th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, ...

Notes on Medical Image Processing with Deep Learning

Notes on Medical Image Processing with Deep Learning
  • Author : Taposh Dutta Roy
  • Publisher : Unknown
  • Release Date : 2020-11-11
  • Total pages : 62
  • ISBN : 0128104090
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Summary : Healthcare is a domain which deals variety of data - structured, semi-structured and un-structured data such as raw-text, images, sound, and sensory. A lot of research work has been focused on analyzing structured data from text sources. However, with the advent of better transducers and data processing capabilities we can ...

Machine Learning and Medical Imaging

Machine Learning and Medical Imaging
  • Author : Guorong Wu,Dinggang Shen,Mert Sabuncu
  • Publisher : Academic Press
  • Release Date : 2016-08-11
  • Total pages : 512
  • ISBN : 0128104090
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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 ...

Advanced Machine Vision Paradigms for Medical Image Analysis

Advanced Machine Vision Paradigms for Medical Image Analysis
  • Author : Tapan K. Gandhi,Siddhartha Bhattacharyya,Sourav De,Debanjan Konar,Sandip Dey
  • Publisher : Academic Press
  • Release Date : 2020-08-11
  • Total pages : 308
  • ISBN : 0128104090
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Summary : Computer vision and machine intelligence paradigms are prominent in the domain of medical image applications, including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics. Medical image analysis and understanding are daunting tasks owing to the massive influx of multi-modal medical image data generated during ...

Deep Learning Methods for Medical Image Computing

Deep Learning Methods for Medical Image Computing
  • Author : Haofu Liao
  • Publisher : Unknown
  • Release Date : 2020
  • Total pages : 206
  • ISBN : 0128104090
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Summary : "A long-standing goal of the medical community is to present and analyze medical images efficiently and intelligently. On the one hand, it means to find efficient ways to acquire high-quality medical images that can readily be used by healthcare providers. On the other hand, it means to discover intelligent ways ...