A Novel Fragmentation-based Approach for Accurate Segmentation of Small-sized Brain Tumors in MRI Images
The proposed FSDT emerges as a promising solution for advancing the accurate identification and sizing of brain tumors through cutting-edge medical image analysis. The demonstrated improvements in accuracy, training rate, and analysis time showcase its potential for effective realworld healthcare applications.
Authors
- Taeg Keun Whangbo (ORCID: https://orcid.org/0000-0003-1409-0580)
- Shabir Ahmad
- Mohd Anjum (ORCID: https://orcid.org/0000-0003-4094-3786)
- Sana Shahab (ORCID: https://orcid.org/0000-0003-0254-3351)
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- Gachon University (KR)
- Aligarh Muslim University (IN)
- University of Business and Technology (SA)
Publication Details
- Journal
- Current Medical Imaging Formerly Current Medical Imaging Reviews
- Published
- 2025-03-07
- DOI
- https://doi.org/10.2174/0115734056305784240821045425
- Citations
- 3
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 2.53