Advances in artificial intelligence : biomedical engineering applications in signals and imaging /
"Artificial intelligence in healthcare has become one of the best assisting techniques for clinicians in proper diagnosis and surgery. In biomedical applications, artificial intelligence algorithms are explored for bio-signals, such as electrocardiogram (ECG/EKG), electrooculogram (EOG), electr...
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| その他の著者: | , , |
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| フォーマット: | 電子媒体 eBook |
| 言語: | 英語 |
| 出版事項: |
London :
Academic Press,
2024.
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| 主題: | |
| オンライン･アクセス: | ScienceDirect |
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|---|---|---|---|
| 001 | on1435616188 | ||
| 003 | OCoLC | ||
| 005 | 20260915095213.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 240601t20242024enka ob 001 0 eng d | ||
| 040 | |a YDX |b eng |e rda |e pn |c YDX |d OPELS |d OCLCO |d OCLCA |d UKAHL |d N$T |d OCLCQ |d WAU |d OCLCL |d SFB |d OCLCQ |d OCLCF |d OCLCO | ||
| 020 | |a 9780443153921 |q (electronic bk.) | ||
| 020 | |a 0443153922 |q (electronic bk.) | ||
| 020 | |z 9780443190735 | ||
| 020 | |z 0443190739 | ||
| 035 | |a (OCoLC)1435616188 | ||
| 050 | 4 | |a R859.7.A78 | |
| 082 | 0 | 4 | |a 610.285/63 |2 23/eng/20240611 |1 https://id.oclc.org/worldcat/ddc/E37BhQmHQ9YrhrhKthjvQmFdfY |
| 245 | 0 | 0 | |a Advances in artificial intelligence : |b biomedical engineering applications in signals and imaging / |c edited by Kunal Pal, Bala Chakravarthy Neelapu, J. Sivaraman. |
| 260 | |a London : |b Academic Press, |c 2024. | ||
| 300 | |a 1 online resource (xxvii, 601 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 340 | |p illustration |0 http://rdaregistry.info/termList/IllusContent/1014 |2 rdaill | ||
| 588 | 0 | |a Online resource; title from PDF title page (Ebsco, viewed June 10, 2025). | |
| 504 | |a Includes bibliographical references and index | ||
| 505 | 0 | 0 | |a Chapter 1: Introduction to biomedical signals and biomedical imaging / |r Anton Popova and Kateryna Ivanko -- Chapter 2: Medical applications of artificial intelligence / |r Bikash K. Pradhana, Deblina Biswasc, Bala Chakravarthy Neelapua, J. Sivaramana, and Kunal Pa -- Chapter 3: Decipher the mask-induced cardiac changes in the ECG signals using DWT and machine learning classifiers -- Chapter 4: A robust to noise classification method for the heart sound signals using deep learning technique -- Chapter 5: A hybrid ResNet-18-UNet model for MRI brain tumor segmentation -- Chapter 6: Artificial intelligence (AI) in medical robotics -- Chapter 7: Artificial intelligence in medical education -- Chapter 8: Artificial intelligence-based obstructive sleep apnea detection using ECG signals -- Chapter 9: Artificial intelligence techniques for diagnosis of atrial fibrillation -- Chapter 10: Artificial intelligence in monitoring and correction of functional state based on electrocardiosignal -- Chapter 11 -- Deep learning methods for drug repurposing through heterogeneous data -- Chapter 12 -- Explainable AI for medical applications / |r Nalla Maheswara Rao, J. Sivaraman, Kunal Pal, and Bala Chakravarthy Neelapu -- Chapter 13 -- Artificial intelligence-based smart devices for biomedical applications / |r Deblu Sahua, Bala Chakravarthy Neelapua, J. Sivaramana, Sirsendu S. Rayb, and Kunal Pal -- Chapter 14 -- Automation in orthodontics and orthopedics using artificial intelligence / |r S. Gowri Priya and A. Thirugnanam -- Chapter 15 -- Data-driven model for healthcare diagnosis / |r Lakshmi Kanthan Narayanana, Priyanga Subbiahb, Rengaraj Alias, Muralidharan Ramanujamc, P.B. Aravind Prasadd, and P. Selvaraj -- Chapter 16 -- Artificial intelligence in diabetes management / |r Anju Thomas, Varun P. Gopi and Bibin Francis -- Chapter 17 -- 2D and 3D segmentation of organs using artificial intelligence / |r Maksym Manko and Javier Ram̕rez -- Chapter 18 -- Early-stage identification of autism in children using gesture monitoring based on artificial intelligence / |r Varun P. Gopi, Bibin Francis and Anju Thomas -- Chapter 19 -- Artificial intelligence in diagnosis of neural disorders using biosignals and imaging / |r Abdulhamit Subasi, Tuba Nur Subasi and Oznur Ozaltin -- Chapter 20 -- Biomedical image security / |r Qasem Abu Al-Haija. |
| 520 | |a "Artificial intelligence in healthcare has become one of the best assisting techniques for clinicians in proper diagnosis and surgery. In biomedical applications, artificial intelligence algorithms are explored for bio-signals, such as electrocardiogram (ECG/EKG), electrooculogram (EOG), electromyogram (EMG), electroencephalogram (EEG), blood pressure, heart rate, and nerve conduction, and for bio-imaging modalities, such as computed tomography (CT), cone-beam computed tomography (CBCT), and MRI (magnetic resonance imaging). Advancements in artificial intelligence and big data have increased the development of innovative medical devices in healthcare applications. Advances in Artificial Intelligence: Biomedical Engineering Applications in Signals and Imaging provides an overview of artiƯficial intelligence in biomedical applications, including both bio-signals and bio-imaging modalities. The chapters contain a mathematical formulation of algorithms and their applications in the biomedical Ư eld, including case studies. Biomedical engineers, advanced students, and researchers can use this book to apply their knowledge in artificial intelligence-based processes to biological signals, implement mathematical models and advanced algorithms, and develop AI-based medical devices. Key Features: Covers the recent advancements of artificial intelligence in healthcare, including case studies on how this technology can be used. Provides an understanding of the design of experiments to validate the developed algorithms. Presents an understanding of the versatile application of artificial intelligence in bio-signal and bio-image processing techniques."--Provided by publisher. | ||
| 650 | 0 | |a Artificial intelligence |x Medical applications. | |
| 650 | 0 | |a Biomedical engineering. | |
| 650 | 6 | |a Intelligence artificielle |x Applications en médecine. |0 (CaQQLa)201-0180593 | |
| 650 | 6 | |a Génie biomédical. |0 (CaQQLa)201-0021888 | |
| 650 | 7 | |a biomedical engineering. |2 aat |0 (CStmoGRI)aat300250642 | |
| 650 | 7 | |a Artificial intelligence |x Medical applications |2 fast |0 (OCoLC)fst00817267 | |
| 650 | 7 | |a Biomedical engineering |2 fast |0 (OCoLC)fst00832568 | |
| 700 | 1 | |a Pal, Kunal, |e editor. |1 https://id.oclc.org/worldcat/entity/E39PCjGcrGyw8mFFfhYywQWGgX | |
| 700 | 1 | |a Neelapu, Bala Chakravarthy, |e editor | |
| 700 | 1 | |a Sivaraman, J., |e editor | |
| 776 | 0 | 8 | |i Print version: |t ADVANCES IN ARTIFICIAL INTELLIGENCE. |d [S.l.] : ELSEVIER ACADEMIC PRESS, 2024 |z 0443190739 |w (OCoLC)1390915574 |
| 856 | 4 | 0 | |3 ScienceDirect |u https://www.sciencedirect.com/science/book/9780443190735 |