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@@ -27,7 +27,7 @@ pip install albumentations
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  ```python
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  from histolytics.models.cppnet_panoptic import CPPNetPanoptic
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- model = CPPNetPanoptic.from_pretrained("hgsc_v1_efficientnet_b5")
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  ```
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  ## 3. Run inference for one image
@@ -93,7 +93,7 @@ ax[1].imshow(label2rgb(out["nuc"][0][0], bg_label=0)) # inst_map
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  ax[2].imshow(label2rgb(out["nuc"][0][1], bg_label=0)) # type_map
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  ax[3].imshow(label2rgb(out["tissue"][0], bg_label=0)) # tissue_map
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  ```
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- <!-- ![out](cppnet_out.png) -->
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  ## Dataset Details
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  Semi-manually annotated CIN2 samples from a (private) cohort of Helsinki University Hospital
 
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  ```python
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  from histolytics.models.cppnet_panoptic import CPPNetPanoptic
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+ model = CPPNetPanoptic.from_pretrained("cin2_v1_efficientnet_b5")
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  ```
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  ## 3. Run inference for one image
 
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  ax[2].imshow(label2rgb(out["nuc"][0][1], bg_label=0)) # type_map
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  ax[3].imshow(label2rgb(out["tissue"][0], bg_label=0)) # tissue_map
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  ```
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+ ![out](cppnet_out_pan_cin2.png)
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  ## Dataset Details
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  Semi-manually annotated CIN2 samples from a (private) cohort of Helsinki University Hospital