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Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022; 25th International C Linwei Wang,Qi Dou,Shuo Li Conference procee

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Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Modelstion on to what extent a model’s predictions are usable. In addition, the sizes of usable regions (UR) can be utilized to compare models: A model with a larger UR can be taken as a more usable and hence better model. Experiments on six datasets validate that the proposed evaluation methods perform w
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Modality-Adaptive Feature Interaction for Brain Tumor Segmentation with Missing Modalitiesg situations. Applying MFI with multi-modal code in different stages of a U-shaped architecture, we design a novel network U-Net-MFI to interact multi-modal features hierarchically and adaptively for brain tumor segmentation with missing modality(ies). Experiments show that our model outperforms the
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