A computer-aided diagnosis system for glioma grading using three dimensional texture analysis and machine learning in MRI brain tumour

Al-Zurfi, AN; Meziane, F; Aspin, R

doi:10.1109/BIOSMART.2019.8734207

All Outputs (2)

Integration of digital watermarking technique into medical imaging systems (2019)
Presentation / Conference
Qasim, A., Aspin, R., & Meziane, F. (2019, June). Integration of digital watermarking technique into medical imaging systems. Presented at 10th International Conference Dependable Systems, Services and Technologies (DESSERT’2019), Leeds, UK

This paper presents the process of integrating digital watermarking technique into medical imaging workflow to evaluate, validate and verify its applicability and appropriateness to medical domains. This is significant to ensure the ability of the pr... Read More about Integration of digital watermarking technique into medical imaging systems.

A computer-aided diagnosis system for glioma grading using three dimensional texture analysis and machine learning in MRI brain tumour (2019)
Presentation / Conference
Al-Zurfi, A., Meziane, F., & Aspin, R. (2019, April). A computer-aided diagnosis system for glioma grading using three dimensional texture analysis and machine learning in MRI brain tumour. Presented at 3rd IEEE International Conference on Bio-Engineering for Smart Technologies (BioSMART 2019), Paris, France

Glioma grading is vital for therapeutic planning where the higher level of glioma is associated with high mortality. It is a challenging task as different glioma grades have mixed morphological characteristics of brain tumour. A computer-aided diagno... Read More about A computer-aided diagnosis system for glioma grading using three dimensional texture analysis and machine learning in MRI brain tumour.