@@ -200,7 +200,7 @@ def get_patch_dataset(self, train_transforms):
200200 patch_func = Compose (
201201 [
202202 LoadImaged (keys = ["image" ], image_only = True ),
203- EnsureChannelFirstd (keys = ["image" ], channel_dim = "no_channel" ),
203+ EnsureChannelFirstd (keys = ["image" ], strict_check = False ),
204204 RandSpatialCropSamplesd (
205205 keys = ["image" ],
206206 roi_size = (
@@ -235,7 +235,7 @@ def get_dataset_eval(self, eval_dataset_dict):
235235 [
236236 LoadImaged (keys = ["image" , "label" ]),
237237 EnsureChannelFirstd (
238- keys = ["image" , "label" ], channel_dim = "no_channel"
238+ keys = ["image" , "label" ], strict_check = False
239239 ),
240240 # RandSpatialCropSamplesd(
241241 # keys=["image", "label"],
@@ -280,7 +280,7 @@ def get_dataset(self, train_transforms):
280280 load_single_images = Compose (
281281 [
282282 LoadImaged (keys = ["image" ]),
283- EnsureChannelFirstd (keys = ["image" ]),
283+ EnsureChannelFirstd (keys = ["image" ], strict_check = False ),
284284 Orientationd (keys = ["image" ], axcodes = "PLI" ),
285285 SpatialPadd (
286286 keys = ["image" ],
@@ -1296,7 +1296,7 @@ def get_patch_loader_func(num_samples):
12961296 return Compose (
12971297 [
12981298 LoadImaged (keys = ["image" , "label" ]),
1299- EnsureChannelFirstd (keys = ["image" , "label" ]),
1299+ EnsureChannelFirstd (keys = ["image" , "label" ], strict_check = False ),
13001300 RandSpatialCropSamplesd (
13011301 keys = ["image" , "label" ],
13021302 roi_size = (
@@ -1381,7 +1381,7 @@ def get_patch_loader_func(num_samples):
13811381 # image_only=True,
13821382 # reader=WSIReader(backend="tifffile")
13831383 ),
1384- EnsureChannelFirstd (keys = ["image" , "label" ]),
1384+ EnsureChannelFirstd (keys = ["image" , "label" ], strict_check = False ),
13851385 Orientationd (keys = ["image" , "label" ], axcodes = "PLI" ),
13861386 QuantileNormalizationd (keys = ["image" ]),
13871387 SpatialPadd (
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