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FLAIR-INC_rgbi_15cl_resnet34-unet

Image Segmentation

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sgiordano commited on Feb 26

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@@ -161,7 +161,7 @@ Fine-tuning and prediction tasks are detailed in the README file.
 ### Training Data
-218 400 patches of 512 x 512 pixels were used to train the **FLAIR-INC_RVBIE_resnet34_unet_15cl_norm** model.
 The train/validation split was performed patchwise to obtain a 80% / 20% distribution between train and validation.
 Annotation was performed at the _zone_ level (~100 patches per _zone_). Spatial independancy between patches is guaranted as patches from the same _zone_ were assigned to the same set (TRAIN or VALIDATION).
 The following number of patches were used for train and validation :

 ### Training Data
+218 400 patches of 512 x 512 pixels were used to train the **FLAIR-INC_rgbi_15cl_resnet34-unet** model.
 The train/validation split was performed patchwise to obtain a 80% / 20% distribution between train and validation.
 Annotation was performed at the _zone_ level (~100 patches per _zone_). Spatial independancy between patches is guaranted as patches from the same _zone_ were assigned to the same set (TRAIN or VALIDATION).
 The following number of patches were used for train and validation :