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ідея - Brain Metastases Segmentation
FANCL: Using Feature-Guided Attention and Curriculum Learning to Improve Brain Metastases Segmentation in CNNs
FANCL, a novel deep learning model, leverages feature-guided attention and curriculum learning to overcome limitations of traditional CNNs in segmenting brain metastases (BMs) from MRI, particularly small and irregular lesions, achieving superior performance compared to existing methods.
3D-TransUNet for Brain Metastases Segmentation in BraTS2023 Challenge Report
TransUNet model combines Transformer self-attention with U-Net for brain metastases segmentation.
3D-TransUNet for Brain Metastases Segmentation in BraTS2023 Challenge
Effective brain metastases segmentation using 3D-TransUNet model.
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