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Advances in bioinformatics and biomedical engineering book series.
Deep neural networks for multimodal imaging and biomedical applications / Annamalai Suresh, R. Udendran, S. Vimal. — 1 online resource (xvi, 294 pages) : illustrations (some color). — (Advances in bioinformatics and biomedical engineering (ABBE) book series). — "Premier Reference Source" -- taken from front cover. — <URL:http://elib.fa.ru/ebsco/2546363.pdf>.

Record create date: 12/10/2019

Subject: Machine learning.; Computational intelligence.; Artificial intelligence — Medical applications.; Deep Learning; Multimodal Imaging — methods; Image Interpretation, Computer-Assisted — methods; Biomedical Technology — methods; Apprentissage automatique.; Intelligence informatique.; Intelligence artificielle en médecine.; Apprentissage profond.; Artificial intelligence — Medical applications; Computational intelligence; Machine learning

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"This book provides research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing deep neural networks to predicting disease by employing multi-modal imaging"--.

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Table of Contents

  • Cover
  • Title Page
  • Copyright Page
  • Book Series
  • Table of Contents
  • Detailed Table of Contents
  • Preface
  • Chapter 1: Emerging Information Technology Scenarios and Their Contributions in Reinventing Future Healthcare Systems
  • Chapter 2: Deep Learning Models for Semantic Multi-Modal Medical Image Segmentation
  • Chapter 3: Deep Learning Techniques for Biomedical Image Analysis in Healthcare
  • Chapter 4: Heterogeneous Large-Scale Distributed Systems on Machine Learning
  • Chapter 5: Impact of Smart Technology and Economic Growth for Biomedical Applications
  • Chapter 6: Importance of Automation and Next-Generation IoT in Smart Healthcare
  • Chapter 7: A Comparative Study of Popular CNN Topologies Used for Imagenet Classification
  • Chapter 8: A Novel Framework on Biomedical Image Analysis Based on Shape and Texture Classification for Complex Disease Diagnosis
  • Chapter 9: Deep Learning Techniques for Prediction, Detection, and Segmentation of Brain Tumors
  • Chapter 10: Demystification of Deep Learning-Driven Medical Image Processing and Its Impact on Future Biomedical Applications
  • Chapter 11: Artificial Intelligence and Reliability Metrics in Medical Image Analysis
  • Chapter 12: Transforming Biomedical Applications Through Smart Sensing and Artificial Intelligence
  • Chapter 13: Exploring Internet of Things and Artificial Intelligence for Smart Healthcare Solutions
  • Chapter 14: The Pivotal Role of Edge Computing With Machine Learning and Its Impact on Healthcare
  • Chapter 15: Neuro-Fuzzy-Based Smart Irrigation System and Multimodal Image Analysis in Static-Clustered Wireless Sensor Network for Marigold Crops
  • Chapter 16: Use of Eggshell as a Partial Replacement for Sand in Concrete Used in Biomedical Applications
  • Compilation of References
  • About the Contributors
  • Index

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