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Deep Learning Models for Medical Imaging

Deep Learning Models for Medical Imaging explains the concepts of Deep Learning (DL) and its importance in medical imaging and/or;

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Introduction to Deep Learning for Healthcare

multi-modality data. Healthcare data include both structured and unstructured information. Structured data include various medical codes for;

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Deep Learning and Convolutional Neural Networks for Medical Image Computing

learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation;

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Medical Imaging

Winner of the Outstanding Academic Title recognition by Choice for the 2020 OAT Awards. The Choice OAT Award represents the;

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Machine Learning for Medical Image Reconstruction

This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning for Medical Reconstruction, MLMIR;

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Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets

learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation;

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

medical imaging. In addition, the book examines a broad selection of techniques for semantic segmentation using deep learning principles;

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

medical imaging. In addition, the book examines a broad selection of techniques for semantic segmentation using deep learning principles;

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Deep Learning for Medical Image Analysis

Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This;

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Machine Learning and Medical Imaging

. Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced;

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Deep Learning in Medical Image Analysis

This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer;

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Machine Learning for Medical Image Reconstruction

This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning for Medical Reconstruction, MLMIR;

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Information Processing in Medical Imaging

This book constitutes the proceedings of the 27th International Conference on Information Processing in Medical Imaging, IPMI 2021, which;

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Machine Learning in Medical Imaging

This book constitutes the proceedings of the 10th International Workshop on Machine Learning in Medical Imaging, MLMI 2019, held;

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Deep Learning and Data Labeling for Medical Applications

and Expert Label Synthesis, LABELS 2016, and the Second International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2016. The 28;

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Handbook of Deep Learning in Biomedical Engineering

composite information. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications gives readers a complete overview of the;

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Bayesian and grAphical Models for Biomedical Imaging

, e.g. machine learning in medical imaging, have a stronger mathematical focus on the foundations of probabilistic modeling and inference. The;

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Medical Imaging and Computer Aided Diagnosis

This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma;

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Information Processing in Medical Imaging

This book constitutes the proceedings of the 26th International Conference on Information Processing in Medical Imaging, IPMI 2019, held at;

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Deep Learning Techniques for Biomedical and Health Informatics

improve clinical decision-making Provides detailed coverage of Deep Learning for medical image processing, including optimizing medical;

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Computational Intelligence in Medical Imaging

CI Techniques & Algorithms for a Variety of Medical Imaging SituationsDocuments recent advances and stimulates further research A;

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Computational Intelligence in Medical Imaging

CI Techniques & Algorithms for a Variety of Medical Imaging SituationsDocuments recent advances and stimulates further research A;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

networks The book is designed for graduate students and researchers in genomics, epigenomics, medical image, bioinformatics, and data science;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

and computational algorithms for searching causal paths from genetic variant to disease Develop causal machine learning;

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Image Analysis and Recognition

; Signal Processing Techniques for Ultrasound Tissue Characterization and Imaging in Complex Biological Media; Advances in Deep Learning; Deep;

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Deep Learning in Biomedical and Health Informatics

deep learning in health informatics in the fields of medical imaging, electronic health records, genomics, and sensing Highlights various;

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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis

This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning;

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