Deep learning for medical applications with unique data. (2022)

• Record Type: Book
• Further Information: Note: Edited by Deepak Gupta, Utku Kose, Ashish Khanna, Valentina Emilia Balas.
• Editors: Gupta, Deepak; Kose, Utku, 1985-; (Of Guru Gobind Singh Indraprastha University), Khanna, Ashish; Balas, Valentina Emilia
• Contents: 1. A deep learning approach for the prediction of heart attacks based on data analysis 2. A comparative study on fully convolutional networks— FCN-8, FCN-16, and FCN-32: A case of brain tumor 3. Deep learning applications for disease diagnosis 4. An artificial intelligent cognitive approach for classification and recognition of white blood cells employing deep learning for medical applications 5. Deep learning on medical image analysis on COVID-19 x-ray dataset using an X-Net architecture 6. Early prediction of heart disease using a deep learning approach 7. Machine learning and deep learning algorithms in disease prediction: Future trends for the healthcare system 8. Automatic detection of white matter hyperintensities via mask region-based convolutional neural networks using magnetic resonance images 9. Diagnosing glaucoma with optic disk segmenting and deep learning from color retinal fundus images 10. An artificial intelligence framework to ensure a trade-off between sanitary and economic perspectives during the COVID-19 pandemic 11. Prediction of COVID-19 using machine learning techniques
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2022
• Extent: 1 online resource
• Subjects: 610.28563; Artificial intelligence -- Medical applications; Deep learning (Machine learning)
• Languages: English
• ISBNs: 9780128241462
• Related ISBNs: 9780128241455
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.