Deep Learning Models for Medical Imaging

Written By K.C. Santosh
Deep Learning Models for Medical Imaging
  • Publsiher : Academic Press
  • Release : 15 January 2021
  • ISBN : 9780128235041
  • Pages : 180 pages
  • Rating : /5 from reviews
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Download or read book entitled Deep Learning Models for Medical Imaging by author: K.C. Santosh which was release on 15 January 2021 and published by Academic Press with total page 180 pages . This book available in PDF, EPUB and Kindle Format. 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 different real-world case studies, providing complete implementation (via GitHub) of both standard (e.g. LeNet, Alexnet, VGGNet, ResNet and InceptionNet) and recent models (Mobile net and squeeze-and excitation net). Provides a step-by-step approach to develop deep learning models Presents case studies showing end-to-end implementation Includes codes provided in GitHub

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 : 9780128235041
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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 Healthcare

Deep Learning in Healthcare
  • Author : Yen-Wei Chen,Lakhmi C. Jain
  • Publisher : Springer Nature
  • Release Date : 2019-11-18
  • Total pages : 218
  • ISBN : 9780128235041
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Summary : This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical computer-aided diagnosis systems. Deep learning (DL) is one of the key techniques of ...

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 : 9780128235041
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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 ...

Machine Learning in Medical Imaging

Machine Learning in Medical Imaging
  • Author : Guorong Wu,Daoqiang Zhang,Luping Zhou
  • Publisher : Springer
  • Release Date : 2014-09-05
  • Total pages : 332
  • ISBN : 9780128235041
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Summary : This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning in Medical Imaging, MLMI 2014, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014, in Cambridge, MA, USA, in September 2014. The 40 contributions included in this volume were carefully reviewed and ...

Machine Learning in Medical Imaging

Machine Learning in Medical Imaging
  • Author : Mingxia Liu
  • Publisher : Springer Nature
  • Release Date : 2021-05-10
  • Total pages : 212
  • ISBN : 9780128235041
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Summary : Read online Machine Learning in Medical Imaging written by Mingxia Liu, published by Springer Nature which was released on . Download full Machine Learning in Medical Imaging Books now! Available in PDF, ePub and Kindle....

Deep Neural Networks for Multimodal Imaging and Biomedical Applications

Deep Neural Networks for Multimodal Imaging and Biomedical Applications
  • Author : Suresh, Annamalai,Udendhran, R.,Vimal, S.
  • Publisher : IGI Global
  • Release Date : 2020-06-26
  • Total pages : 294
  • ISBN : 9780128235041
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Summary : The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a ...

Machine Learning in Medical Imaging

Machine Learning in Medical Imaging
  • Author : Qian Wang,Yinghuan Shi,Heung-Il Suk,Kenji Suzuki
  • Publisher : Springer
  • Release Date : 2017-09-06
  • Total pages : 391
  • ISBN : 9780128235041
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Summary : This book constitutes the refereed proceedings of the 8th International Workshop on Machine Learning in Medical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 44 full papers presented in this volume were carefully reviewed and selected from 63 submissions. The main aim of this workshop ...

Medical Image Computing and Computer Assisted Intervention MICCAI 2019

Medical Image Computing and Computer Assisted Intervention     MICCAI 2019
  • Author : Dinggang Shen,Tianming Liu,Terry M. Peters,Lawrence H. Staib,Caroline Essert,Sean Zhou,Pew-Thian Yap,Ali Khan
  • Publisher : Springer Nature
  • Release Date : 2019-12-07
  • Total pages : 860
  • ISBN : 9780128235041
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Summary : The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in ...

Deep Learning for Data Analytics

Deep Learning for Data Analytics
  • Author : Himansu Das,Chittaranjan Pradhan,Nilanjan Dey
  • Publisher : Academic Press
  • Release Date : 2020-05-29
  • Total pages : 218
  • ISBN : 9780128235041
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Summary : Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications and Challenges provides readers with a focused approach for the design ...

Machine Learning in Medical Imaging

Machine Learning in Medical Imaging
  • Author : Heung-Il Suk,Mingxia Liu,Pingkun Yan,Chunfeng Lian
  • Publisher : Springer Nature
  • Release Date : 2019-12-09
  • Total pages : 695
  • ISBN : 9780128235041
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Summary : This book constitutes the proceedings of the 10th International Workshop on Machine Learning in Medical Imaging, MLMI 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 78 papers presented in this volume were carefully reviewed and selected from 158 submissions. They focus on major trends and challenges in the area, ...

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 : 9780128235041
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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 with PyTorch

Deep Learning with PyTorch
  • Author : Eli Stevens,Luca Antiga,Thomas Viehmann
  • Publisher : Manning Publications
  • Release Date : 2020-08-04
  • Total pages : 520
  • ISBN : 9780128235041
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Summary : Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with ...

Handbook of Research on Deep Learning Based Image Analysis Under Constrained and Unconstrained Environments

Handbook of Research on Deep Learning Based Image Analysis Under Constrained and Unconstrained Environments
  • Author : Alex Noel Joseph Raj,Vijayalakshmi G. V. Mahesh,Nersisson Ruban
  • Publisher : IGI Global
  • Release Date : 2020-11
  • Total pages : 212
  • ISBN : 9780128235041
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Summary :

Recent advancements in imaging techniques and image analysis has broadened the horizons for their applications in various domains. Image analysis has become an influential technique in medical image analysis, optical character recognition, geology, remote sensing, and more. However, analysis of images under constrained and unconstrained environments require efficient representation ...

Artificial Intelligence for Medical Image Analysis of NeuroImaging Data

Artificial Intelligence for Medical Image Analysis of NeuroImaging Data
  • Author : Nianyin Zeng,Siyang Zuo,Guoyan Zheng,Yangming Ou,Tong Tong
  • Publisher : Frontiers Media SA
  • Release Date : 2020-07-03
  • Total pages : 212
  • ISBN : 9780128235041
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Summary : Read online Artificial Intelligence for Medical Image Analysis of NeuroImaging Data written by Nianyin Zeng,Siyang Zuo,Guoyan Zheng,Yangming Ou,Tong Tong, published by Frontiers Media SA which was released on 2020-07-03. Download full Artificial Intelligence for Medical Image Analysis of NeuroImaging Data Books now! Available in PDF, ...

Machine Learning for Medical Image Reconstruction

Machine Learning for Medical Image Reconstruction
  • Author : Farah Deeba
  • Publisher : Springer Nature
  • Release Date : 2021-05-10
  • Total pages : 212
  • ISBN : 9780128235041
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Summary : Read online Machine Learning for Medical Image Reconstruction written by Farah Deeba, published by Springer Nature which was released on . Download full Machine Learning for Medical Image Reconstruction Books now! Available in PDF, ePub and Kindle....