Fig. 5

Bar charts of comparison results measured with DSC for eleven datasets tested by hybrid-training models with different encoder layer sharing schema. FullyShare was another name of the DOS result in Fig. 4. GELN_DCM denotes segmentation from GELN_DCM 3D U-Net in Fig. 2. The blue triangle denotes an obvious accuracy-decreased stagnation level, which suggested that the stagnation level and the lower levels should be shared and thus were more compatible. The GEL5-DCM can improve the unbalanced datasets’ accuracy while not reduce others’, which suggested that the final level of the encoder was the least compatible