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Deep Learners and Deep Learner Descriptors for Medical Applications

This book introduces readers to the current trends in using deep learners and deep learner descriptors for medical applications. It reviews;

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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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Deep Learning for Biomedical Applications

future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very critical. This book provides a;

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Deep Learning and Data Labeling for Medical Applications

This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and;

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Deep Network Design for Medical Image Computing

Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses design;

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Deep Learning Applications

solve real-world problems, and also offers insights into deep learning architectures and algorithms, making it an essential reference guide for;

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Deep Learning in Healthcare

current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical;

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Deep Learning in Healthcare

current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical;

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Deep Learning for Data Analytics

of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications;

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Examining the Impact of Deep Learning and IoT on Multi-Industry Applications

efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and;

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Deep Learning for Cancer Diagnosis

used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation.;

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Deep Learning for Cancer Diagnosis

used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation.;

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Deep Learning for Medical Decision Support Systems

the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience;

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Deep Learning for Medical Decision Support Systems

the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience;

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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply;

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Deep Learning Techniques for Biomedical and Health Informatics

Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based;

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Deep Learning for the Life Sciences

, microscopy, medical analysis, and other fields. Ideal for practicing developers and scientists ready to apply their skills to scientific;

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Deep Biometrics

biometric data, biometric banking, medical biometrics, healthcare biometrics, and biometric genetics, etc. The goal of this volume is to summarize;

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Deep Biometrics

biometric data, biometric banking, medical biometrics, healthcare biometrics, and biometric genetics, etc. The goal of this volume is to summarize;

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Probabilistic and Biologically Inspired Feature Representations

2D and 3D descriptors, and for pose estimation. In the chapters of this text, the framework of channel representations will be introduced and;

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Probabilistic and Biologically Inspired Feature Representations

2D and 3D descriptors, and for pose estimation. In the chapters of this text, the framework of channel representations will be introduced and;

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

in medical imaging; introduces a novel approach to text and image deep embedding for a large-scale chest x-ray image database; and discusses how deep;

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

in medical imaging; introduces a novel approach to text and image deep embedding for a large-scale chest x-ray image database; and discusses how deep;

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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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Deep Learning in Medical Image Analysis

chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast;

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State of the Art in Neural Networks and Their Applications

, optical coherence tomography, cryo-electron tomography, 3D MRI, CT, and more Covers deep learning for several medical conditions;

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MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition

, researchers have begun applying deep learning strategies to image analysis and pattern recognition for solving technical issues within image;

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