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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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书目详细资料
其他作者: Pal, Kunal (Editor), Neelapu, Bala Chakravarthy (Editor), Sivaraman, J. (Editor)
格式: 电子 电子书
语言:英语
出版: London : Academic Press, 2024.
主题:
Artificial intelligence > Medical applications.
Biomedical engineering.
Intelligence artificielle > Applications en médecine.
Génie biomédical.
biomedical engineering.
Artificial intelligence > Medical applications
Biomedical engineering
在线阅读:ScienceDirect
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书本目录:
  • Chapter 1: Introduction to biomedical signals and biomedical imaging / Anton Popova and Kateryna Ivanko
  • Chapter 2: Medical applications of artificial intelligence / 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 / Nalla Maheswara Rao, J. Sivaraman, Kunal Pal, and Bala Chakravarthy Neelapu
  • Chapter 13
  • Artificial intelligence-based smart devices for biomedical applications / Deblu Sahua, Bala Chakravarthy Neelapua, J. Sivaramana, Sirsendu S. Rayb, and Kunal Pal
  • Chapter 14
  • Automation in orthodontics and orthopedics using artificial intelligence / S. Gowri Priya and A. Thirugnanam
  • Chapter 15
  • Data-driven model for healthcare diagnosis / Lakshmi Kanthan Narayanana, Priyanga Subbiahb, Rengaraj Alias, Muralidharan Ramanujamc, P.B. Aravind Prasadd, and P. Selvaraj
  • Chapter 16
  • Artificial intelligence in diabetes management / Anju Thomas, Varun P. Gopi and Bibin Francis
  • Chapter 17
  • 2D and 3D segmentation of organs using artificial intelligence / Maksym Manko and Javier Ram̕rez
  • Chapter 18
  • Early-stage identification of autism in children using gesture monitoring based on artificial intelligence / Varun P. Gopi, Bibin Francis and Anju Thomas
  • Chapter 19
  • Artificial intelligence in diagnosis of neural disorders using biosignals and imaging / Abdulhamit Subasi, Tuba Nur Subasi and Oznur Ozaltin
  • Chapter 20
  • Biomedical image security / Qasem Abu Al-Haija.

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