Mining Biomedical Text, Images and Visual Features for Information Retrieval
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Mining Biomedical Text, Images and Visual Features for Information Retrieval

Mining Biomedical Text, Images and Visual Features for Information Retrieval

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About the Book

Mining Biomedical Text, Images and Visual Features for Information Retrieval provides broad coverage of the concepts, themes, and instrumentalities of the important, evolving area of biomedical text, images, and visual features towards information retrieval. The book aims to encourage an even wider adoption of IR methods for assisting in problem-solving and to stimulate research that may lead to additional innovations in this area of research. Topics covered include Internet of Things for health informatics; data privacy; smart healthcare; medical image processing; 3D medical images; evolutionary computing; deep learning; medical ontology; linguistic indexing; lexical analysis; and domain specific semantic categories in biomedical applications. This is a valuable resource for researchers and graduate students who are interested to learn more about data mining techniques to improve their research work.

Table of Contents:
Part I: IoT for Biomedical and Health Informatics 1. Introduction to IoT and Health Informatics 2. IoT system architectures in healthcare 3. Computational Intelligence in IoT Healthcare 4. Data Privacy in IoT E-health 5. IoT big data analytics in the healthcare industry. 6. Methodical IoT Based Information System in Healthcare Industry. 7. IoT for Smart Healthcare monitoring System Part II: Computational Intelligence for Medical Image Processing 8. Computational Intelligence approaches in Biomedical image Processing 9. Distributed 3-D Medical Image Registration Using Intelligent Agents 10. Image Segmentation and Parameterization for Automatic Diagnostics 11. Computational Intelligence on Medical Imaging with Artificial Neural Networks 12. Evolutionary Computing and Its Use in Medical Imaging 13. Image Informatics for Clinical and Preclinical Biomedical Analysis 14. Topic Extractions (in Psychology) 15. Deep Learning in Medical Image Analysis 16. Automatic Segmentation of Multiple Organs on CT Images by Using Deep Learning Approaches 17. Medical Image Synthesis using Deep Learning 18. Medical Image Mining Using Data Mining Techniques 19. Biomedical Image Characterization and Radio genomics Using Machine Learning Techniques Part III: Biomedical Natural Language Processing 20. Medical Ontology for text Categorization System 21. Biomedical terminologies resources for Information Retrieval 22. Image retrieval and Linguistic Indexing 23. Translation of Biomedical terms Using inferring rewriting rules 24. Lexical Analysis of Biomedical Ontologies 25. Word Sense Disambiguation in biomedical applications 26. Domain Specific Semantic Categories in Biomedical applications


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Product Details
  • ISBN-13: 9780443154522
  • Publisher: Elsevier Science Publishing Co Inc
  • Publisher Imprint: Academic Press Inc
  • Height: 235 mm
  • No of Pages: 668
  • Width: 191 mm
  • ISBN-10: 044315452X
  • Publisher Date: 20 Nov 2024
  • Binding: Paperback
  • Language: English
  • Weight: 450 gr


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Mining Biomedical Text, Images and Visual Features for Information Retrieval
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Mining Biomedical Text, Images and Visual Features for Information Retrieval
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