Journal of Medical Diagnostic Methods
Open Access

School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland

Publications

• Research Article   
  Improved Mask RCNN Network for Brain Tumor MRI Image Instance Segmentation Analysis
  Author(s): Ming Him Foun*
  
  In the pursuit of advancing the precision of brain tumor MRI image detection and segmentation for the purpose of fulfilling the requirements of automated medical analysis, this research introduces an enhanced Mask R-CNN method specifically tailored for high-precision brain tumor instance segmentation. The augmentation involves the incorporation of the Convolutional Block Attention Module (CBAM) hybrid attention mechanism, aimed at improving the model’s feature extraction capabilities and adaptively reinforcing its responsiveness to critical features. This enhancement facilitates a more precise capture of key tumor information. Furthermore, the integration of the Bi-directional Feature Pyramid Network (BiFPN) feature fusion technology ensures the model’s ability to accurately segment brain tumors of diverse sizes and shapes, thereby enhancing its capaci.. View More»
  DOI: 10.35248/2168-9784.24.13.482

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