Automated glioma grading based on an efficient ensemble design of a multiple classifier system using deep iteration neural networks matrix
(2018)
Presentation / Conference
Al-Zurfi, A., Meziane, F., & Aspin, R. (2018, September). Automated glioma grading based on an efficient ensemble design of a multiple classifier system using deep iteration neural networks matrix. Presented at The 24th International Conference on Automation and Computing (ICAC'18), Newcastle, UK
The preoperative diagnosis of brain Glioma grades is crucial for therapeutic planning as it impacts on the tumour’s prognosis. The development of machine learning methods that can accurately evaluate Glioma grades is of great interest since it is a... Read More about Automated glioma grading based on an efficient ensemble design of a multiple classifier system using deep iteration neural networks matrix.