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Mining Biomedical Text, Images and Visual Features for Information Retrieval

Specificaties
Paperback, blz. | Engels
Elsevier Science | e druk, 2024
ISBN13: 9780443154522
Rubricering
Elsevier Science e druk, 2024 9780443154522
€ 172,60
Levertijd ongeveer 8 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9780443154522
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

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