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Automated brain tumor identification using magnetic resonance imaging: A systematic review and meta-analysis
2022
Neuro-Oncology Advances
Background Automated brain tumor identification facilitates diagnosis and treatment planning. We evaluate the performance of traditional machine learning (TML) and deep learning (DL) in brain tumor detection and segmentation, using MRI. Methods A systematic literature search from January 2000 to May 8, 2021 was conducted. Study quality was assessed using the Checklist for Artificial Intelligence in Medical Imaging (CLAIM). Detection meta-analysis was performed using a unified hierarchical
doi:10.1093/noajnl/vdac081
pmid:35769411
pmcid:PMC9234754
fatcat:nekrrqhilzetthi3ki3xywh4mm