Medical Image Learning With Limited And Noisy Data

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Medical Image Learning with Limited and Noisy Data

Ghada Zamzmi,Sameer Antani,Ulas Bagci,Marius George Linguraru,Sivaramakrishnan Rajaraman,Zhiyun Xue
Medical Image Learning with Limited and Noisy Data Book PDF

Author : Ghada Zamzmi,Sameer Antani,Ulas Bagci,Marius George Linguraru,Sivaramakrishnan Rajaraman,Zhiyun Xue
Publisher : Springer Nature
Page : 243 pages
File Size : 42,9 Mb
Release : 2022-09-21
Category : Computers
ISBN : 9783031167607

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Medical Image Learning with Limited and Noisy Data by Ghada Zamzmi,Sameer Antani,Ulas Bagci,Marius George Linguraru,Sivaramakrishnan Rajaraman,Zhiyun Xue Pdf

This book constitutes the proceedings of the First Workshop on Medical Image Learning with Limited and Noisy Data, MILLanD 2022, held in conjunction with MICCAI 2022. The conference was held in Singapore. For this workshop, 22 papers from 54 submissions were accepted for publication. They selected papers focus on the challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data.

Medical Image Learning with Limited and Noisy Data

Zhiyun Xue,Sameer Antani,Ghada Zamzmi,Feng Yang,Sivaramakrishnan Rajaraman,Sharon Xiaolei Huang,Marius George Linguraru,Zhaohui Liang
Medical Image Learning with Limited and Noisy Data Book PDF

Author : Zhiyun Xue,Sameer Antani,Ghada Zamzmi,Feng Yang,Sivaramakrishnan Rajaraman,Sharon Xiaolei Huang,Marius George Linguraru,Zhaohui Liang
Publisher : Springer Nature
Page : 274 pages
File Size : 41,6 Mb
Release : 2023-11-08
Category : Computers
ISBN : 9783031449178

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Medical Image Learning with Limited and Noisy Data by Zhiyun Xue,Sameer Antani,Ghada Zamzmi,Feng Yang,Sivaramakrishnan Rajaraman,Sharon Xiaolei Huang,Marius George Linguraru,Zhaohui Liang Pdf

This book consists of full papers presented in the 2nd workshop of ”Medical Image Learning with Noisy and Limited Data (MILLanD)” held in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023). The 24 full papers presented were carefully reviewed and selected from 38 submissions. The conference focused on challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data.

Deep Learning for Medical Image Analysis

S. Kevin Zhou,Hayit Greenspan,Dinggang Shen
Deep Learning for Medical Image Analysis Book PDF

Author : S. Kevin Zhou,Hayit Greenspan,Dinggang Shen
Publisher : Academic Press
Page : 544 pages
File Size : 46,9 Mb
Release : 2023-12-01
Category : Computers
ISBN : 9780323858885

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Deep Learning for Medical Image Analysis by S. Kevin Zhou,Hayit Greenspan,Dinggang Shen Pdf

Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Deep learning provides exciting solutions for medical image analysis problems and is 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 are applied to medical image detection, segmentation, registration, and computer-aided analysis. · Covers common research problems in medical image analysis and their challenges · Describes the latest 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 cardiac, neural and functional, colonoscopy, OCTA applications and model assessment · Includes a Foreword written by Nicholas Ayache

Machine Learning for Medical Image Reconstruction

Florian Knoll,Andreas Maier,Daniel Rueckert,Jong Chul Ye
Machine Learning for Medical Image Reconstruction Book PDF

Author : Florian Knoll,Andreas Maier,Daniel Rueckert,Jong Chul Ye
Publisher : Springer Nature
Page : 274 pages
File Size : 46,5 Mb
Release : 2019-10-24
Category : Computers
ISBN : 9783030338435

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Machine Learning for Medical Image Reconstruction by Florian Knoll,Andreas Maier,Daniel Rueckert,Jong Chul Ye Pdf

This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 24 full papers presented were carefully reviewed and selected from 32 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography; and deep learning for general image reconstruction.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

Alejandro F. Frangi,Julia A. Schnabel,Christos Davatzikos,Carlos Alberola-López,Gabor Fichtinger
Medical Image Computing and Computer Assisted Intervention MICCAI 2018 Book PDF

Author : Alejandro F. Frangi,Julia A. Schnabel,Christos Davatzikos,Carlos Alberola-López,Gabor Fichtinger
Publisher : Springer
Page : 918 pages
File Size : 44,9 Mb
Release : 2018-09-13
Category : Computers
ISBN : 9783030009281

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 by Alejandro F. Frangi,Julia A. Schnabel,Christos Davatzikos,Carlos Alberola-López,Gabor Fichtinger Pdf

The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018. The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections: Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods. Part II: Optical and Histology Applications: Optical Imaging Applications; Histology Applications; Microscopy Applications; Optical Coherence Tomography and Other Optical Imaging Applications. Cardiac, Chest and Abdominal Applications: Cardiac Imaging Applications: Colorectal, Kidney and Liver Imaging Applications; Lung Imaging Applications; Breast Imaging Applications; Other Abdominal Applications. Part III: Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor Imaging; Diffusion Weighted Imaging; Functional MRI; Human Connectome. Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation Methods. Part IV: Computer Assisted Intervention: Image Guided Interventions and Surgery; Surgical Planning, Simulation and Work Flow Analysis; Visualization and Augmented Reality. Image Segmentation Methods: General Image Segmentation Methods, Measures and Applications; Multi-Organ Segmentation; Abdominal Segmentation Methods; Cardiac Segmentation Methods; Chest, Lung and Spine Segmentation; Other Segmentation Applications.

Machine Learning in Clinical Neuroimaging

Ahmed Abdulkadir,Deepti R. Bathula,Nicha C. Dvornek,Sindhuja T. Govindarajan,Mohamad Habes,Vinod Kumar,Esten Leonardsen,Thomas Wolfers,Yiming Xiao
Machine Learning in Clinical Neuroimaging Book PDF

Author : Ahmed Abdulkadir,Deepti R. Bathula,Nicha C. Dvornek,Sindhuja T. Govindarajan,Mohamad Habes,Vinod Kumar,Esten Leonardsen,Thomas Wolfers,Yiming Xiao
Publisher : Springer Nature
Page : 183 pages
File Size : 53,9 Mb
Release : 2023-10-07
Category : Computers
ISBN : 9783031448584

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Machine Learning in Clinical Neuroimaging by Ahmed Abdulkadir,Deepti R. Bathula,Nicha C. Dvornek,Sindhuja T. Govindarajan,Mohamad Habes,Vinod Kumar,Esten Leonardsen,Thomas Wolfers,Yiming Xiao Pdf

This book constitutes the refereed proceedings of the 6th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2023, held in Conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023. The book includes 16 papers which were carefully reviewed and selected from 28 full-length submissions. The 6th International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2023) aims to bring together the top researchers in both machine learning and clinical neuroscience as well as tech-savvy clinicians to address two main challenges: 1) development of methodological approaches for analyzing complex and heterogeneous neuroimaging data (machine learning track); and 2) filling the translational gap in applying existing machine learning methods in clinical practices (clinical neuroimaging track). The papers are categorzied into topical sub-headings on Machine Learning and Clinical Applications.

Machine Learning in Medical Imaging

Mingxia Liu,Pingkun Yan,Chunfeng Lian,Xiaohuan Cao
Machine Learning in Medical Imaging Book PDF

Author : Mingxia Liu,Pingkun Yan,Chunfeng Lian,Xiaohuan Cao
Publisher : Springer Nature
Page : 702 pages
File Size : 50,5 Mb
Release : 2020-10-02
Category : Computers
ISBN : 9783030598617

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Machine Learning in Medical Imaging by Mingxia Liu,Pingkun Yan,Chunfeng Lian,Xiaohuan Cao Pdf

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 held virtually due to the COVID-19 pandemic. The 68 papers presented in this volume were carefully reviewed and selected from 101 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.

Medical Image Synthesis

Xiaofeng Yang
Medical Image Synthesis Book PDF

Author : Xiaofeng Yang
Publisher : CRC Press
Page : 318 pages
File Size : 42,6 Mb
Release : 2024-02-06
Category : Medical
ISBN : 9781000900774

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Medical Image Synthesis by Xiaofeng Yang Pdf

Image synthesis across and within medical imaging modalities is an active area of research with broad applications in radiology and radiation oncology. This book covers the principles and methods of medical image synthesis, along with state-of-the-art research. First, various traditional non-learning-based, traditional machine-learning-based, and recent deep-learning-based medical image synthesis methods are reviewed. Second, specific applications of different inter- and intra-modality image synthesis tasks and of synthetic image-aided segmentation and registration are introduced and summarized, listing and highlighting the proposed methods, study designs, and reported performances with the related clinical applications of representative studies. Third, the clinical usages of medical image synthesis, such as treatment planning and image-guided adaptive radiotherapy, are discussed. Last, the limitations and current challenges of various medical synthesis applications are explored, along with future trends and potential solutions to solve these difficulties. The benefits of medical image synthesis have sparked growing interest in a number of advanced clinical applications, such as magnetic resonance imaging (MRI)-only radiation therapy treatment planning and positron emission tomography (PET)/MRI scanning. This book will be a comprehensive and exciting resource for undergraduates, graduates, researchers, and practitioners.

Machine Learning for Medical Image Reconstruction

Nandinee Haq,Patricia Johnson,Andreas Maier,Chen Qin,Tobias Würfl,Jaejun Yoo
Machine Learning for Medical Image Reconstruction Book PDF

Author : Nandinee Haq,Patricia Johnson,Andreas Maier,Chen Qin,Tobias Würfl,Jaejun Yoo
Publisher : Springer Nature
Page : 162 pages
File Size : 45,5 Mb
Release : 2022-09-22
Category : Computers
ISBN : 9783031172472

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Machine Learning for Medical Image Reconstruction by Nandinee Haq,Patricia Johnson,Andreas Maier,Chen Qin,Tobias Würfl,Jaejun Yoo Pdf

This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2022, held in conjunction with MICCAI 2022, in September 2022, held in Singapore. The 15 papers presented were carefully reviewed and selected from 19 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.

Deep Learning in Medical Image Analysis

Gobert Lee,Hiroshi Fujita
Deep Learning in Medical Image Analysis Book PDF

Author : Gobert Lee,Hiroshi Fujita
Publisher : Springer Nature
Page : 184 pages
File Size : 42,7 Mb
Release : 2020-02-06
Category : Medical
ISBN : 9783030331283

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Deep Learning in Medical Image Analysis by Gobert Lee,Hiroshi Fujita Pdf

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.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019

Dinggang Shen,Tianming Liu,Terry M. Peters,Lawrence H. Staib,Caroline Essert,Sean Zhou,Pew-Thian Yap,Ali Khan
Medical Image Computing and Computer Assisted Intervention MICCAI 2019 Book PDF

Author : Dinggang Shen,Tianming Liu,Terry M. Peters,Lawrence H. Staib,Caroline Essert,Sean Zhou,Pew-Thian Yap,Ali Khan
Publisher : Springer Nature
Page : 851 pages
File Size : 47,6 Mb
Release : 2019-10-10
Category : Computers
ISBN : 9783030322397

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 by Dinggang Shen,Tianming Liu,Terry M. Peters,Lawrence H. Staib,Caroline Essert,Sean Zhou,Pew-Thian Yap,Ali Khan Pdf

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 the following topical sections: Part I: optical imaging; endoscopy; microscopy. Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression. Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging. Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis. Part V: computer assisted interventions; MIC meets CAI. Part VI: computed tomography; X-ray imaging.

Understanding and Interpreting Machine Learning in Medical Image Computing Applications

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
Understanding and Interpreting Machine Learning in Medical Image Computing Applications Book PDF

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
Page : 149 pages
File Size : 52,9 Mb
Release : 2018-10-23
Category : Computers
ISBN : 9783030026288

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Understanding and Interpreting Machine Learning in Medical Image Computing Applications by 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 Pdf

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 Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 4 full MLCN papers, the 6 full DLF papers, and the 6 full iMIMIC papers included in this volume were carefully reviewed and selected. The MLCN contributions develop state-of-the-art machine learning methods such as spatio-temporal Gaussian process analysis, stochastic variational inference, and deep learning for applications in Alzheimer's disease diagnosis and multi-site neuroimaging data analysis; the DLF papers evaluate the strengths and weaknesses of DL and identify the main challenges in the current state of the art and future directions; the iMIMIC papers cover a large range of topics in the field of interpretability of machine learning in the context of medical image analysis.

Frontiers Of Medical Imaging

Chen Chi Hau
Frontiers Of Medical Imaging Book PDF

Author : Chen Chi Hau
Publisher : World Scientific
Page : 512 pages
File Size : 43,9 Mb
Release : 2014-09-16
Category : Technology & Engineering
ISBN : 9789814611114

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Frontiers Of Medical Imaging by Chen Chi Hau Pdf

There has been great progress and increase in demand for medical imaging. The aim of this book is to capture all major developments in all aspects of medical imaging. As such, this book consists of three major parts: medical physics which includes 3D reconstructions, image processing and segmentation in medical imaging, and medical imaging instruments and systems. As the field is very broad and growing exponentially, this book will cover major activities with chapters prepared by leaders in the field.This book takes a balanced approach in providing coverage of all major work done in the field, and thus provides readers a clear view of the frontier activities in the field. Other books may only focus on instrumentation, physics or computer algorithms. In contrast, this book contains all components so that the readers will obtain a full picture of the field. At the same time, readers can gain some deep insights into certain special topics such as 3D reconstruction and image enhancement software systems involving MRI, ultrasound, X-ray and other medical imaging modalities.

Machine Vision and Augmented Intelligence—Theory and Applications

Manish Kumar Bajpai,Koushlendra Kumar Singh,George Giakos
Machine Vision and Augmented Intelligence Theory and Applications Book PDF

Author : Manish Kumar Bajpai,Koushlendra Kumar Singh,George Giakos
Publisher : Springer Nature
Page : 681 pages
File Size : 52,8 Mb
Release : 2021-11-10
Category : Computers
ISBN : 9789811650789

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Machine Vision and Augmented Intelligence—Theory and Applications by Manish Kumar Bajpai,Koushlendra Kumar Singh,George Giakos Pdf

This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2021) held at IIIT, Jabalpur, in February 2021. The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the volume. The book theme encompasses all industrial and non-industrial applications in which a combination of hardware and software provides operational guidance to devices in the execution of their functions based on the capture and processing of images. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, COVID-19, image processing and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in healthcare, brain-computer interface, cybersecurity, and social network analysis, natural language processing, etc.

Data Engineering in Medical Imaging

Binod Bhattarai,Sharib Ali,Anita Rau,Anh Nguyen,Ana Namburete,Razvan Caramalau,Danail Stoyanov
Data Engineering in Medical Imaging Book PDF

Author : Binod Bhattarai,Sharib Ali,Anita Rau,Anh Nguyen,Ana Namburete,Razvan Caramalau,Danail Stoyanov
Publisher : Springer Nature
Page : 132 pages
File Size : 52,5 Mb
Release : 2023-11-01
Category : Computers
ISBN : 9783031449925

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Data Engineering in Medical Imaging by Binod Bhattarai,Sharib Ali,Anita Rau,Anh Nguyen,Ana Namburete,Razvan Caramalau,Danail Stoyanov Pdf

​Volume LNCS 14414 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada in October 2023. The DEMI 2023 proceedings contain 11 high-quality papers of 9 to 15 pages pre-selected through a rigorous peer review process (with an average of three reviews per paper). All submissions were peer-reviewed through a double-blind process by at least three members of the scientific review committee, comprising 16 experts in the field of medical imaging. The accepted manuscripts cover various medical image analysis methods and applications.