Applications of parallel data processing for biomedical imaging:
Despite the remarkable progress witnessed in the last decade in big data utilization and parallel processing techniques, a persistent disparity exists between the capabilities of computer-aided diagnosis systems and the intricacies of practical healthcare scenarios. This disconnection is particularl...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey PA, USA
IGI Global
[2024]
|
| Schriftenreihe: | Advances in bioinformatics and biomedical engineering (ABBE) book series
|
| Schlagworte: | |
| Online-Zugang: | DE-91 DE-898 DE-1050 Volltext |
| Zusammenfassung: | Despite the remarkable progress witnessed in the last decade in big data utilization and parallel processing techniques, a persistent disparity exists between the capabilities of computer-aided diagnosis systems and the intricacies of practical healthcare scenarios. This disconnection is particularly evident in the complex landscape of artificial intelligence (AI) and IoT innovations within the biomedical realm. The need to bridge this gap and explore the untapped potential in healthcare and biomedical applications has never been more crucial. As we navigate through these challenges, Applications of Parallel Data Processing for Biomedical Imaging offers insights and solutions to reshape the future of biomedical research.The objective of Applications of Parallel Data Processing for Biomedical Imaging is to bring together researchers from both the computer science and biomedical research communities. By showcasing state-of-the-art deep learning and large data analysis technologies, the book provides a platform for the cross-pollination of ideas between AI-based and traditional methodologies. The collaborative effort seeks to have a substantial impact on data mining, AI, computer vision, biomedical research, healthcare engineering, and other related fields. This interdisciplinary approach positions the book as a cornerstone for scholars, professors, and professionals working in software and medical fields, catering to both graduate and undergraduate students eager to explore the evolving landscape of parallel computing, artificial intelligence, and their applications in biomedical research. |
| Beschreibung: | 1 Online-Ressource (xxi, 345 Seiten) Illustrationen |
| ISBN: | 9798369324271 |
| DOI: | 10.4018/979-8-3693-2426-4 |
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| 520 | |a Despite the remarkable progress witnessed in the last decade in big data utilization and parallel processing techniques, a persistent disparity exists between the capabilities of computer-aided diagnosis systems and the intricacies of practical healthcare scenarios. This disconnection is particularly evident in the complex landscape of artificial intelligence (AI) and IoT innovations within the biomedical realm. The need to bridge this gap and explore the untapped potential in healthcare and biomedical applications has never been more crucial. As we navigate through these challenges, Applications of Parallel Data Processing for Biomedical Imaging offers insights and solutions to reshape the future of biomedical research.The objective of Applications of Parallel Data Processing for Biomedical Imaging is to bring together researchers from both the computer science and biomedical research communities. By showcasing state-of-the-art deep learning and large data analysis technologies, the book provides a platform for the cross-pollination of ideas between AI-based and traditional methodologies. The collaborative effort seeks to have a substantial impact on data mining, AI, computer vision, biomedical research, healthcare engineering, and other related fields. This interdisciplinary approach positions the book as a cornerstone for scholars, professors, and professionals working in software and medical fields, catering to both graduate and undergraduate students eager to explore the evolving landscape of parallel computing, artificial intelligence, and their applications in biomedical research. | ||
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| discipline | Medizin |
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| id | DE-604.BV049735940 |
| illustrated | Illustrated |
| indexdate | 2024-12-17T19:01:34Z |
| institution | BVB |
| isbn | 9798369324271 |
| language | English |
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| series2 | Advances in bioinformatics and biomedical engineering (ABBE) book series |
| spelling | Applications of parallel data processing for biomedical imaging Rijwan Khan, Indrajeet Kumar, Pushkar Praveen Hershey PA, USA IGI Global [2024] © 2024 1 Online-Ressource (xxi, 345 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Advances in bioinformatics and biomedical engineering (ABBE) book series Despite the remarkable progress witnessed in the last decade in big data utilization and parallel processing techniques, a persistent disparity exists between the capabilities of computer-aided diagnosis systems and the intricacies of practical healthcare scenarios. This disconnection is particularly evident in the complex landscape of artificial intelligence (AI) and IoT innovations within the biomedical realm. The need to bridge this gap and explore the untapped potential in healthcare and biomedical applications has never been more crucial. As we navigate through these challenges, Applications of Parallel Data Processing for Biomedical Imaging offers insights and solutions to reshape the future of biomedical research.The objective of Applications of Parallel Data Processing for Biomedical Imaging is to bring together researchers from both the computer science and biomedical research communities. By showcasing state-of-the-art deep learning and large data analysis technologies, the book provides a platform for the cross-pollination of ideas between AI-based and traditional methodologies. The collaborative effort seeks to have a substantial impact on data mining, AI, computer vision, biomedical research, healthcare engineering, and other related fields. This interdisciplinary approach positions the book as a cornerstone for scholars, professors, and professionals working in software and medical fields, catering to both graduate and undergraduate students eager to explore the evolving landscape of parallel computing, artificial intelligence, and their applications in biomedical research. Artificial intelligence Big data Diagnostic imaging Technological innovations Image analysis Parallel computers Khan, Rijwan 1981- (DE-588)1299784410 edt Kumar, Indrajeet 1987- edt Praveen, Pushkar 1985- (DE-588)1299784844 edt Erscheint auch als Druck-Ausgabe, Hardcover 979-8-3693-2426-4 https://doi.org/10.4018/979-8-3693-2426-4 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Applications of parallel data processing for biomedical imaging Artificial intelligence Big data Diagnostic imaging Technological innovations Image analysis Parallel computers |
| title | Applications of parallel data processing for biomedical imaging |
| title_auth | Applications of parallel data processing for biomedical imaging |
| title_exact_search | Applications of parallel data processing for biomedical imaging |
| title_full | Applications of parallel data processing for biomedical imaging Rijwan Khan, Indrajeet Kumar, Pushkar Praveen |
| title_fullStr | Applications of parallel data processing for biomedical imaging Rijwan Khan, Indrajeet Kumar, Pushkar Praveen |
| title_full_unstemmed | Applications of parallel data processing for biomedical imaging Rijwan Khan, Indrajeet Kumar, Pushkar Praveen |
| title_short | Applications of parallel data processing for biomedical imaging |
| title_sort | applications of parallel data processing for biomedical imaging |
| topic | Artificial intelligence Big data Diagnostic imaging Technological innovations Image analysis Parallel computers |
| topic_facet | Artificial intelligence Big data Diagnostic imaging Technological innovations Image analysis Parallel computers |
| url | https://doi.org/10.4018/979-8-3693-2426-4 |
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