State of the art in neural networks and their applications. Volume 1 (2021)

• Record Type: Book
• Further Information: Note: Edited by Ayman S. El-Baz, Jasjit S. Suri.
• Editors: El-Baz, Ayman S; Suri, Jasjit S
• Contents: 1. Computer Aided Detection of Abnormality in Mammography using Deep Object Detectors; 2. Detection of retinal abnormalities in fundus image using CNN Deep Learning Networks; 3. A survey of Deep Learning Based Methods for Cryo-electron Tomography Data Analysis; 4. Detection, Segmentation and Numbering of Teeth in Dental Panoramic Images with Mask RCNN; 5. Accurate Identification of Renal Transplant Rejection: Convolutional Neural Networks and Diffusion MRI; 6. Applications of the ESPNet Architecture in Medical Imaging; 7. Achievements of Neural Network in Skin Lesions Classification; 8. A Computer-aided-diagnosis System for Breast Cancer Molecular Subtypes Prediction in mammographic images; 9. Computer-Aided Diagnosis of Renal Masses; 10. Early Identification of Acute Rejection for Renal Allografts: A Machine Learning Approach; 11. Deep Learning for Computer-Aided Diagnosis in Ophthalmology: A Review; 12. Deep Learning for Ophthalmology using Optical Coherence Tomography; 13. Generative Adversarial Networks in Medical Imaging; 14. Deep Learning from Small Labeled Datasets Applied to Medical Image Analysis
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2021
• Extent: 1 online resource
• Subjects: 616.07540285; Diagnostic imaging -- Data processing; Image analysis; Neural networks (Computer science) -- Industrial applications
• Languages: English
• ISBNs: 9780128218495
• Related ISBNs: 9780128197400
• 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.