Enhancing brain tumor MRI classification with an ensemble of deep learning models and transformer integration.

ABSTRACT: Brain tumors are widely recognized as the primary cause of cancer-related mortality globally, necessitating precise detection to enhance patient survival rates. The early identification of brain tumor is presented with significant challenges in the healthcare domain, necessitating the implementation of precise and efficient diagnostic methodologies. The manual identification and analysis of extensive MRI data are presented as a challenging and laborious task, compounded by the importance of early tumor detection in reducing mortality rates. Prompt initiation of treatment hinges upon identifying the specific tumor type in patients, emphasizing the urgency for a dependable deep learning methodology for precise diagnosis. In this research, a hybrid model is presented which integrates the stre

SUBMITTER: Benzorgat N 

PROVIDER: S-EPMC11623201 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature