Mining Biomedical Text, Images and Visual Features for Information Retrieval
eBook - ePub

Mining Biomedical Text, Images and Visual Features for Information Retrieval

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Mining Biomedical Text, Images and Visual Features for Information Retrieval

About this book

Mining Biomedical Text, Images and Visual Features for Information Retrieval provides the reader with a broad coverage of the concepts, themes, and instrumentalities of the important and evolving area of biomedical text, images, and visual features towards information retrieval. It 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.The book discusses topics such as 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.It is a valuable resource for researchers and graduate students who are interested to learn more about data mining techniques to improve their research work. - Describes many biomedical imaging techniques to detect diseases at the cellular level i.e., image segmentation, classification, or image indexing using a variety of computational intelligence and image processing approaches - Discusses how data mining techniques can be used for noise diminution and filtering MRI, EEG, MEG, fMRI, fNIRS, and PET Images - Presents text mining techniques used for clinical documents in the areas of medicine and Biomedical NLP Systems

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Yes, you can access Mining Biomedical Text, Images and Visual Features for Information Retrieval by Sujata Dash,Subhendu Kumar Pani,Wellington Pinheiro Dos Santos,Jake Y Chen in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Molecular Biology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2024
eBook ISBN
9780443154515
Edition
0
Topic
Biological Sciences
Subtopic
Molecular Biology
Index
Biological Sciences

Table of contents

  1. Mining Biomedical Text, Images and Visual Features for Information Retrieval
  2. Chapter 1 Introduction to IoT and health informatics
  3. Chapter 2 Wireless internet of medical things: Technology and architectural design
  4. Chapter 3 An automated human behavior analysis using AI based predictive model in health care
  5. Chapter 4 Survey on security and privacy issues in IoT healthcare
  6. Chapter 5 Smart health monitoring system to prevent complications during pregnancy using IoT and Hadoop
  7. Chapter 6 Methodical IoT-based information system in healthcare industry
  8. Chapter 7 Role of IoT in developing smart healthcare monitoring systems
  9. Chapter 8 Internet of things application to study the spontaneous quantitative drugs detoxification through biosensor
  10. Chapter 9 Supervised and unsupervised techniques for biomedical image classification
  11. Chapter 10 Image segmentation and parameterization for automatic diagnostics of medical images
  12. Chapter 11 Computational intelligence on medical imaging with artificial neural networks
  13. Chapter 12 A fine-tuned deep transfer learning model in classifying multiclass brain tumors for preclinical MRI image analysis
  14. Chapter 13 Transformer models for Topic Extraction from narratives and biomedical text analysis
  15. Chapter 14 Deep learning in medical image analysis
  16. Chapter 15 Automatic segmentation of multiple organs on CT images by using deep learning approaches
  17. Chapter 16 Deep learning approaches for cervical cancer classification and segmentation: Advances and challenges
  18. Chapter 17 Synthesis of clinical images for oral cancer detection and prediction using deep learning
  19. Chapter 18 Medical image mining using data mining techniques
  20. Chapter 19 Biomedical image characterization and radio genomics using machine learning techniques
  21. Chapter 20 Image informatics for clinical and preclinical biomedical analysis
  22. Chapter 21 Persistent homology diagram (PHD) based web service for cancer tagging of mammograms
  23. Chapter 22 Tooth segmentation on dental panoramic X-rays using Mask R-CNN
  24. Chapter 23 Medical ontology for text categorization system and its applications
  25. Chapter 24 Biomedical terminologies: Resources for information retrieval
  26. Chapter 25 Multimodal medical image retrieval system for clinical decision support system
  27. Chapter 26 Translation of biomedical terms using inferring rewriting rules
  28. Chapter 27 Lexical analysis of biomedical ontologies
  29. Chapter 28 Word sense disambiguation in biomedical applications
  30. Chapter 29 Domain specific semantic categories in biomedical applications
  31. Index