用汉语回答：帮我把这个图的颜色修改一下，每个模块颜色统一，不要太花哨：digraph model {
    rankdir=LR;
    node [shape=box, style="filled,rounded", margin="0.2,0.2", fontsize=14];
    edge [fontsize=13];
    compound=true;

    subgraph cluster_0 {
        label="多尺度特征提取";
        style="filled,rounded";
        fillcolor=lightyellow;
        color=gold;
        margin=15;
        fontsize=16;
        
        mri [label="MRI影像\n(224×224×3)", fillcolor=lightblue, width=1.2, fontsize=14];
        
        subgraph cluster_feature {
            label="特征提取";
            style="filled,rounded";
            fillcolor=azure;
            margin=12;
            fontsize=15;
            
            subgraph cluster_patch {
                label="多尺度嵌入";
                style="filled,rounded";
                fillcolor=lightgreen;
                margin=12;
                fontsize=15;
                
                patch1 [label="小尺度嵌入", fillcolor=white, width=1.0];
                patch2 [label="中尺度嵌入", fillcolor=white, width=1.0];
                patch3 [label="大尺度嵌入", fillcolor=white, width=1.0];
                
                {rank=same; patch1; patch2; patch3}
            }
            
            subgraph cluster_attention {
                label="混合注意力层";
                style="filled,rounded";
                fillcolor=lightpink;
                margin=12;
                fontsize=15;

                w_msa [label="W-MSA", fillcolor=white, width=1.0];
                sw_msa [label="SW-MSA", fillcolor=white, width=1.0];
                grid_msa [label="Grid-MSA", fillcolor=white, width=1.0];
            }
        }
        
        mri -> {patch1, patch2, patch3};
        {patch1, patch2, patch3} -> w_msa;
        w_msa -> sw_msa;
        sw_msa -> grid_msa;
    }

    subgraph cluster_1 {
        label="自适应特征提取";
        style="filled,rounded";
        fillcolor=azure;
        color=skyblue;
        margin=15;
        fontsize=16;
        
        {rank=same; clinical; radiomics}
        clinical [label="临床表型特征", fillcolor=lightblue, width=1.2];
        radiomics [label="影像组学特征", fillcolor=lightblue, width=1.2];
        
        {rank=same; clinical_mlp; feature_selection}
        clinical_mlp [label="特征投影\n(MLP)", fillcolor=lightgreen, width=1.2];
        feature_selection [label="特征选择\n(LASSO + XGBoost)", fillcolor=lightsalmon];
        
        radiomics_mlp [label="特征投影\n(MLP)", fillcolor=lightgreen, width=1.2];
        
        {rank=same; norm_drop_clinical; norm_drop_radiomics}
        norm_drop_clinical [label="LayerNorm & Dropout", fillcolor=lightpink, width=1.4];
        norm_drop_radiomics [label="LayerNorm & Dropout", fillcolor=lightpink, width=1.4];
        
        clinical -> clinical_mlp -> norm_drop_clinical;
        radiomics -> feature_selection -> radiomics_mlp -> norm_drop_radiomics;
    }

    subgraph cluster_2 {
        label="特征融合与预测";
        style="filled,rounded";
        fillcolor=lavender;
        color=purple;
        margin=15;
        fontsize=16;
        
        {rank=same; local_fusion; global_fusion; fc; output}
        
        local_fusion [label="局部特征融合\n(门控机制)", fillcolor=peachpuff, width=1.5];
        global_fusion [label="全局特征融合\n(特征聚合+残差)", fillcolor=lightcyan, width=1.5];
        fc [label="特征降维与预测\n(512→1)", fillcolor=lightgreen, width=1.5];
        output [label="诊断结果", fillcolor=lightsalmon, width=1.2];
        
        local_fusion -> global_fusion -> fc -> output;
    }

    grid_msa -> local_fusion [label="影像特征"];
    norm_drop_clinical -> local_fusion [label="临床表型特征"];
    norm_drop_radiomics -> local_fusion [label="影像组学特征"];
}