Integrated brain tumor segmentation and MGMT promoter methylation status classification from multimodal MRI data using deep learning
This pipeline demonstrates the potential of a non-invasive approach to support neuro-oncologists in brain tumor diagnosis and treatment planning. While still at the research stage, it provides insights into tumor sub-regions and MGMT promoter status, highlighting the role of AI-driven methods in assessing molecular data. Future studies and clinical validation are needed to further explore its applicability in real-world clinical settings.
Authors
- Muhammad Sohaib Iqbal (ORCID: https://orcid.org/0000-0002-1819-4128)
- Muhammad Waqas Anwar (ORCID: https://orcid.org/0000-0002-7822-8983)
- Rehan Raza (ORCID: https://orcid.org/0000-0002-2938-8470)
- Usama Ijaz Bajwa (ORCID: https://orcid.org/0000-0001-5755-1194)
Institutions
- COMSATS University Islamabad (PK)
- Murdoch University (AU)
- Government College University, Lahore (PK)
- University of Management and Technology (PK)
Publication Details
- Journal
- Digital Health
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1177/20552076251332018
- Citations
- 5
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 4.21