Applications of Artificial Intelligence in Healthcare and Biomedicine: Artificial Intelligence Applications in Healthcare and Medicine
Autor Abdulhamit Subasien Limba Engleză Paperback – 15 mar 2024
In addition, it presents 3D medical image analysis using 3D Convolutional Neural Networks (CNNs). Final sections cover an AI-based approach to forecast diabetes patients' hospital re-admissions. This is a valuable resource for clinicians, researchers, and healthcare professionals who are interested in learning more about the applications of Artificial Intelligence and its impact in medical/biomedical image analysis.
- Provides knowledge on Artificial Intelligence algorithms for clinical data analysis
- Gives insights into both AI applications in biomedical signal analysis, biomedical image analysis, and applications in healthcare, including drug discovery
- Equips researchers with tools for early breast cancer detection
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Specificații
ISBN-13: 9780443223082
ISBN-10: 0443223084
Pagini: 548
Dimensiuni: 191 x 235 x 29 mm
Greutate: 1.13 kg
Editura: ELSEVIER SCIENCE
Seria Artificial Intelligence Applications in Healthcare and Medicine
ISBN-10: 0443223084
Pagini: 548
Dimensiuni: 191 x 235 x 29 mm
Greutate: 1.13 kg
Editura: ELSEVIER SCIENCE
Seria Artificial Intelligence Applications in Healthcare and Medicine
Cuprins
1. AI techniques for healthcare and biomedicine
ABDULHAMIT SUBASI
2. Artificial intelligence-based emotion recognition using ECG signals
FADIME TOKMAK, ABDULHAMIT SUBASI, AND SAEED MIAN QAISAR
3. Artificial intelligence-based depression detection using EEG signals
FADIME TOKMAK AND ABDULHAMIT SUBASI
4. Electromyography signal classification using artificial intelligence
ABDULHAMIT SUBASI
5. An evaluation of pretrained convolutional neural networks for stroke classification from brain CT images
MUHAMMAD IRFAN, ABDULHAMIT SUBASI, NOMAN MUSTAFA, TOMI WESTERLUND, AND WEI CHEN
6. Brain tumor detection using deep learning from magnetic resonance images
EMAN HASSANAIN AND ABDULHAMIT SUBASI
7. Artificial intelligence-based fatty liver disease detection using ultrasound images
SAFDAR WAHID INAMDAR AND ABDULHAMIT SUBASI
8. Deep learning approaches for breast cancer detection using breast MRI
TANISHA SAHU AND ABDULHAMIT SUBASI
9. Automated detection of colon cancer from histopathological images using deep neural networks
MIRKA SUOMINEN, MUHAMMED ENES SUBASI, AND ABDULHAMIT SUBASI
10. Optical coherence tomography image classification for retinal disease detection using artificial intelligence
MUHAMMED ENES SUBASI, SOHAN PATNAIK, AND ABDULHAMIT SUBASI
11. Heart muscles inflammation (myocarditis) detection using artificial intelligence
RUPAL SHAH AND ABDULHAMIT SUBASI
12. Artificial intelligence for 3D medical image analysis
ABDULHAMIT SUBASI
13. Medical image segmentation using artificial intelligence
ABDULHAMIT SUBASI
14. DNA sequence classification using artificial intelligence
ABDULHAMIT SUBASI
15. Artificial intelligence in drug discovery and development
ABDULHAMIT SUBASI
16. Hospital readmission forecasting using artificial intelligence
ABDULHAMIT SUBASI
ABDULHAMIT SUBASI
2. Artificial intelligence-based emotion recognition using ECG signals
FADIME TOKMAK, ABDULHAMIT SUBASI, AND SAEED MIAN QAISAR
3. Artificial intelligence-based depression detection using EEG signals
FADIME TOKMAK AND ABDULHAMIT SUBASI
4. Electromyography signal classification using artificial intelligence
ABDULHAMIT SUBASI
5. An evaluation of pretrained convolutional neural networks for stroke classification from brain CT images
MUHAMMAD IRFAN, ABDULHAMIT SUBASI, NOMAN MUSTAFA, TOMI WESTERLUND, AND WEI CHEN
6. Brain tumor detection using deep learning from magnetic resonance images
EMAN HASSANAIN AND ABDULHAMIT SUBASI
7. Artificial intelligence-based fatty liver disease detection using ultrasound images
SAFDAR WAHID INAMDAR AND ABDULHAMIT SUBASI
8. Deep learning approaches for breast cancer detection using breast MRI
TANISHA SAHU AND ABDULHAMIT SUBASI
9. Automated detection of colon cancer from histopathological images using deep neural networks
MIRKA SUOMINEN, MUHAMMED ENES SUBASI, AND ABDULHAMIT SUBASI
10. Optical coherence tomography image classification for retinal disease detection using artificial intelligence
MUHAMMED ENES SUBASI, SOHAN PATNAIK, AND ABDULHAMIT SUBASI
11. Heart muscles inflammation (myocarditis) detection using artificial intelligence
RUPAL SHAH AND ABDULHAMIT SUBASI
12. Artificial intelligence for 3D medical image analysis
ABDULHAMIT SUBASI
13. Medical image segmentation using artificial intelligence
ABDULHAMIT SUBASI
14. DNA sequence classification using artificial intelligence
ABDULHAMIT SUBASI
15. Artificial intelligence in drug discovery and development
ABDULHAMIT SUBASI
16. Hospital readmission forecasting using artificial intelligence
ABDULHAMIT SUBASI