A Deep Learning Based Suggested Model to Detect Necrotising Enterocolitis in Abdominal Radiography Images
Conference paper
Van Druten, J., Sharif, S., Chan, S. S., Chong, C. and Abdalla, H. 2019. A Deep Learning Based Suggested Model to Detect Necrotising Enterocolitis in Abdominal Radiography Images. IEEE International Conference on Computing, Electronics & Communications Engineering 2019 (IEEE iCCECE '19) . London Metropolitan University, London, UK 22 - 23 Aug 2019 IEEE. https://doi.org/10.1109/iCCECE46942.2019.8941615
Authors | Van Druten, J., Sharif, S., Chan, S. S., Chong, C. and Abdalla, H. |
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Type | Conference paper |
Abstract | Despite decades of exploration into necrotising |
Keywords | Computer assisted detection; Necrotizing enterocolitis; Abdominal radiograph; Abdominal X-ray; CAD; LBP; SVM; CNN; Machine learning; artificial intelligence; Deep learning; Ensemble Modelling; Class activation map |
Year | 2019 |
Conference | IEEE International Conference on Computing, Electronics & Communications Engineering 2019 (IEEE iCCECE '19) |
Publisher | IEEE |
File | License File Access Level Anyone |
Publication dates | |
Online | 26 Dec 2019 |
Publication process dates | |
Accepted | Jul 2019 |
Deposited | 08 Aug 2019 |
Book title | Proceedings: 2019 International Conference on Computing, Electronics & Communications Engineering (iCCECE) |
Book editor | Miraz, M. H. |
Excell, P. S. | |
Ware, A. | |
Soomro, S. | |
Ali, M. | |
ISBN | 978-1-7281-2138-3/19 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/iCCECE46942.2019.8941615 |
Web address (URL) | https://doi.org/10.1109/iCCECE46942.2019.8941615 |
Copyright holder | © 2019 IEEE. |
Copyright information | Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
https://repository.uel.ac.uk/item/86y0z
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