fhofmann
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VertebralBodiesCT-ResEncM

Image Segmentation

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fhofmann commited on Sep 4

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@@ -43,7 +43,7 @@ The training dataset consists of 1216 labels corresponding to CT scans derived f
 Detailed information on the labeling process can be found [here](https://huggingface.co/datasets/fhofmann/VertebralBodiesCT-Labels).
 The model segments thoracic vertebrae T1 to T12 (labels 1-12), lumbar vertebrae L1 to L5 (labels 13-17), and the sacrum (label 19), with optional vertebrae such as T13 (label 21) or L6 (label 18).
 Training was conducted using a single fold over 1000 epochs.
-The [dataset_fingerprint.json](nnUNetTrainer__nnUNetResEncUNetMPlans__3d_fullres/dataset_fingerprint.json), [model plan with model configuration and hyperparameters](nnUNetTrainer__nnUNetResEncUNetMPlans__3d_fullres/plans.json) and [training logs](nnUNetTrainer__nnUNetResEncUNetMPlans__3d_fullres/fold_all/logs/)) are available with the model.
 ## Evaluation
 The model's performance metrics were assessed in a separate test dataset, and its clinical value in identifying the third lumbar vertebra (L3) was explored in an [independent oncological dataset](https://doi.org/10.25737/SZ96-ZG60). Model metrics are available [here](metrics.md), and detailed results are described in [our paper](#Citation).

 Detailed information on the labeling process can be found [here](https://huggingface.co/datasets/fhofmann/VertebralBodiesCT-Labels).
 The model segments thoracic vertebrae T1 to T12 (labels 1-12), lumbar vertebrae L1 to L5 (labels 13-17), and the sacrum (label 19), with optional vertebrae such as T13 (label 21) or L6 (label 18).
 Training was conducted using a single fold over 1000 epochs.
+The [dataset_fingerprint.json](nnUNetTrainer__nnUNetResEncUNetMPlans__3d_fullres/dataset_fingerprint.json), [model plan with model configuration and hyperparameters](nnUNetTrainer__nnUNetResEncUNetMPlans__3d_fullres/plans.json) and [training logs](https://huggingface.co/fhofmann/VertebralBodiesCT-ResEncM/tree/main/nnUNetTrainer__nnUNetResEncUNetMPlans__3d_fullres/fold_all/logs) are available with the model.
 ## Evaluation
 The model's performance metrics were assessed in a separate test dataset, and its clinical value in identifying the third lumbar vertebra (L3) was explored in an [independent oncological dataset](https://doi.org/10.25737/SZ96-ZG60). Model metrics are available [here](metrics.md), and detailed results are described in [our paper](#Citation).