diff --git a/src/mednet/libs/classification/models/classification_model.py b/src/mednet/libs/classification/models/classification_model.py
index 2a8c24ee3655dce1d6823700a2f0cca4c4bb8471..e2d4b3bebf7899522159e8dd1ae984e809ea58e6 100644
--- a/src/mednet/libs/classification/models/classification_model.py
+++ b/src/mednet/libs/classification/models/classification_model.py
@@ -12,7 +12,7 @@ import torch.utils.data
 from mednet.libs.common.data.typing import TransformSequence
 from mednet.libs.common.models.model import Model
 
-logger = logging.getLogger("mednet")
+logger = logging.getLogger(__name__)
 
 
 class ClassificationModel(Model):
diff --git a/src/mednet/libs/segmentation/models/lwnet.py b/src/mednet/libs/segmentation/models/lwnet.py
index 3a552c4901cef48eed003eeb4cf127a9455666eb..9442c2c92c1e1d1f32d2e02406a9101e2688796a 100644
--- a/src/mednet/libs/segmentation/models/lwnet.py
+++ b/src/mednet/libs/segmentation/models/lwnet.py
@@ -25,7 +25,7 @@ from mednet.libs.segmentation.models.losses import MultiWeightedBCELogitsLoss
 
 from .segmentation_model import SegmentationModel
 
-logger = logging.getLogger("mednet")
+logger = logging.getLogger(__name__)
 
 
 def _conv1x1(in_planes, out_planes, stride=1):
diff --git a/src/mednet/libs/segmentation/models/normalizer.py b/src/mednet/libs/segmentation/models/normalizer.py
index 5b3b7561c292f7520d4e37cc5fe5e2e4f3be9836..9f45cd1117ffbad9d6f74a8debe2c0f6f27fbc79 100644
--- a/src/mednet/libs/segmentation/models/normalizer.py
+++ b/src/mednet/libs/segmentation/models/normalizer.py
@@ -11,7 +11,7 @@ import torch.utils.data
 import torchvision.transforms
 import tqdm
 
-logger = logging.getLogger("mednet")
+logger = logging.getLogger(__name__)
 
 
 def make_z_normalizer(
diff --git a/src/mednet/libs/segmentation/models/segmentation_model.py b/src/mednet/libs/segmentation/models/segmentation_model.py
index f545e67f3cff41cff46890d13851bb9aa1885723..8ffb75ac7fed41340991deef8636acaa9f2fcbae 100644
--- a/src/mednet/libs/segmentation/models/segmentation_model.py
+++ b/src/mednet/libs/segmentation/models/segmentation_model.py
@@ -13,7 +13,7 @@ from mednet.libs.common.data.typing import TransformSequence
 from mednet.libs.common.models.model import Model
 from mednet.libs.segmentation.models.losses import MultiWeightedBCELogitsLoss
 
-logger = logging.getLogger("mednet")
+logger = logging.getLogger(__name__)
 
 
 class SegmentationModel(Model):