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A fusion of salient and convolutional features applying healthy templates for MRI brain tumor segmentation
2020
Multimedia tools and applications
This paper proposes an improved brain tumor segmentation method based on visual saliency features on MRI image volumes. The proposed method introduces a novel combination of multiple MRI modalities used as pseudo-color channels for highlighting the potential tumors. The novel pseudo-color model incorporates healthy templates generated from the MRI slices without tumors. The constructed healthy templates are also used during the training of neural network models. Based on a saliency map built
doi:10.1007/s11042-020-09871-w
fatcat:7l4i3cno7vda3cufcu37raswly