--- a
+++ b/models/BloodNet3D.py
@@ -0,0 +1,12 @@
+import torch
+import torch.nn as nn
+
+class BloodNet3D(nn.Module):
+    def __init__(self):
+        super(BloodNet3D, self).__init__()
+        self.conv1 = nn.Conv3d(1, 32, kernel_size=3, padding=1)
+    # ... Add more layers as needed
+
+    def forward(self, x):
+        # Define the forward pass
+        return x