State of the Art in Neural Networks and their Applications.
State of the Art in Neural Networks and Their Applications presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. Advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing and sui...
| Main Authors: | , , |
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| Format: | software, multimedia |
| Language: | eng |
| Published: |
London : Academic Press,
2021
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| Subjects: | |
| Online Access: | https://www.sciencedirect.com/science/book/9780128197400 |
| _version_ | 1826472389868781568 |
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| author | El-Baz, Ayman S., editor 567948 Suri, Jasjit S., editor 318525 ScienceDirect (Online service) 7722 |
| author_facet | El-Baz, Ayman S., editor 567948 Suri, Jasjit S., editor 318525 ScienceDirect (Online service) 7722 |
| author_sort | El-Baz, Ayman S., editor 567948 |
| collection | OCEAN |
| description | State of the Art in Neural Networks and Their Applications presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. Advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing and suitable data analytics useful for clinical diagnosis and research applications are covered, including relevant case studies. The application of Neural Network, Artificial Intelligence, and Machine Learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe diseases. |
| first_indexed | 2024-03-05T17:17:43Z |
| format | software, multimedia |
| id | KOHA-OAI-TEST:605631 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T17:17:43Z |
| publishDate | 2021 |
| publisher | London : Academic Press, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:6056312023-09-12T07:28:02ZState of the Art in Neural Networks and their Applications. El-Baz, Ayman S., editor 567948 Suri, Jasjit S., editor 318525 ScienceDirect (Online service) 7722 software, multimedia Electronic books 631902 London : Academic Press,©20212021engState of the Art in Neural Networks and Their Applications presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. Advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing and suitable data analytics useful for clinical diagnosis and research applications are covered, including relevant case studies. The application of Neural Network, Artificial Intelligence, and Machine Learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe diseases.Includes bibliographical references and indexChapter 1. Computer-aided detection of abnormality in mammography using deep object detectors --Chapter 2. Detection of retinal abnormalities in fundus image using CNN deep learning networks -- Chapter 3. A survey of deep learning-based methods for cryo-electron tomography data analysis -- Chapter 4. Detection, segmentation, and numbering of teeth in dental panoramic images with mask regions with convolutional neural network features -- Chapter 5. Accurate identification of renal transplant rejection: convolutional neural networks and diffusion MRI -- Chapter 6. Applications of the ESPNet architecture in medical imaging -- Chapter 7. Achievements of neural network in skin lesions classification -- Chapter 8. A computer-aided diagnosis system for breast cancer molecular subtype prediction in mammographic images -- Chapter 9. Computer-aided diagnosis of renal masses --Chapter 10. Early identification of acute rejection for renal allografts: a machine learning approach -- Chapter 11. Deep learning for computer-aided diagnosis in ophthalmology: a review -- Chapter 12 - Deep learning for ophthalmology using optical coherence tomography -- Chapter 13. Generative adversarial networks in medical imaging -- Chapter 14. Deep learning from small labeled datasets applied to medical image analysis.State of the Art in Neural Networks and Their Applications presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. Advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing and suitable data analytics useful for clinical diagnosis and research applications are covered, including relevant case studies. The application of Neural Network, Artificial Intelligence, and Machine Learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe diseases.Diagnostic imagingImage analysis.Neural networks (Computer science)https://www.sciencedirect.com/science/book/9780128197400URN:ISBN:9780128197400Remote access restricted to users with a valid UTM ID via VPN. |
| spellingShingle | Diagnostic imaging Image analysis. Neural networks (Computer science) El-Baz, Ayman S., editor 567948 Suri, Jasjit S., editor 318525 ScienceDirect (Online service) 7722 State of the Art in Neural Networks and their Applications. |
| title | State of the Art in Neural Networks and their Applications. |
| title_full | State of the Art in Neural Networks and their Applications. |
| title_fullStr | State of the Art in Neural Networks and their Applications. |
| title_full_unstemmed | State of the Art in Neural Networks and their Applications. |
| title_short | State of the Art in Neural Networks and their Applications. |
| title_sort | state of the art in neural networks and their applications |
| topic | Diagnostic imaging Image analysis. Neural networks (Computer science) |
| url | https://www.sciencedirect.com/science/book/9780128197400 |
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