abdominal-multi-organ-segmentation

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` # 首先将输入缩小一倍 inputs_stage1 = F.upsample(inputs, (48, 128, 128), mode='trilinear') # 得到第一阶段的结果 output_stage1 = self.stage1(inputs_stage1) output_stage1 = F.upsample(output_stage1, (48, 256, 256), mode='trilinear') # 将第一阶段的结果与原始输入数据进行拼接作为第二阶段的输入 inputs_stage2 = torch.cat((output_stage1, inputs), dim=1)` The...

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