Automated glioma grading based on an efficient ensemble design of a multiple classifier system using deep iteration neural networks matrix
Conference paper
Authors | Al-Zurfi, A, Meziane, F. and Aspin, R |
---|---|
Type | Conference paper |
Abstract | The preoperative diagnosis of brain Glioma grades |
Keywords | Deep Neural Network; Ensemble Design; Glioma Grading; Magnetic Resonance Imaging; Multiple Classifier System |
Year | 2018 |
Conference | 2018 24th International Conference on Automation and Computing (ICAC) |
Journal | ICAC 2018 - 2018 24th IEEE International Conference on Automation and Computing: Improving Productivity through Automation and Computing |
Publisher | IEEE |
Digital Object Identifier (DOI) | https://doi.org/10.23919/iconac.2018.8749072 |
Web address (URL) | http://www.cacsuk.co.uk/index.php/conferences |
Journal citation | (Article: 8749072) |
ISBN | 978-1-86220-341-9 |
Web address (URL) of conference proceedings | https://ieeexplore.ieee.org/xpl/conhome/8742895/proceeding |
Output status | Published |
Publication dates | |
Online | 01 Jul 2019 |
06 Jun 2018 | |
Publication process dates | |
Deposited | 05 Jun 2023 |
https://repository.derby.ac.uk/item/9z13q/automated-glioma-grading-based-on-an-efficient-ensemble-design-of-a-multiple-classifier-system-using-deep-iteration-neural-networks-matrix
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