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. 2022 Sep 8;33(2):959–969. doi: 10.1007/s00330-022-09113-7

Fig. 1.

Fig. 1

Schematic description of U-Net architecture used for image-level fusion (ILF) and feature-level fusion (FLF). The colored part represents the ILF where the T1c and SubT1 images are concatenated before being used as input for the CNN model. The dotted part is added to implement the FLF where T1c and SubT1 images are used as the input to two separate encoding parts and the extracted features from each level are concatenated