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Fig. 1 | BMC Medical Imaging

Fig. 1

From: A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets

Fig. 1

The pipeline of the method and the segmentation networks used in this study. The proposed dataset-wise convolution module (DCM) sets separate level convolutions for the eleven datasets. Convolution layers in the encoder was leveled by the size of their output features maps and numbered by down-sampling time. GELN_DCM 3D U-Net set DCM at those levels greater or equal to Level (GEL) N (N ranges from zero to five) in the encoder of 3D U-Net

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