Advanced Computational Modeling for Brain Tumor Detection: Enhancing Segmentation Accuracy Using ICA-I and ICA-II Techniques
Global mortality rates are greatly impacted by malignancies of the brain and nervous system. Although, Magnetic Resonance Imaging (MRI) plays a pivotal role in detecting brain tumors; however, manual assessment is time-consum... | Find, read and cite all the research you need on Tech Science Press
Authors
- Muhammad Irfan (ORCID: https://orcid.org/0000-0003-4161-6875)
- Ahmed Ali
- Sultan Alamri (ORCID: https://orcid.org/0000-0003-4536-8231)
- Toufique Ahmed Soomro (ORCID: https://orcid.org/0000-0002-8560-0026)
- Magbool Alelyani (ORCID: https://orcid.org/0000-0002-6597-5090)
- Ahmad Joman Alghamdi (ORCID: https://orcid.org/0000-0002-8285-6915)
- Mohammed S. Alshuhri (ORCID: https://orcid.org/0000-0001-9775-384X)
- Faisal Bin Ubaid (ORCID: https://orcid.org/0009-0009-4111-143X)
- Khlood M. Mehdar (ORCID: https://orcid.org/0000-0001-6652-2002)
- Abdullah A. Asiri (ORCID: https://orcid.org/0000-0002-1839-3821)
Publication Details
- Journal
- Computer Modeling in Engineering & Sciences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmes.2025.061683
- Citations
- 2
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 1.68