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randall-lab
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medianomaly

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haodoz0118 commited on Jun 11

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@@ -11,6 +11,8 @@ All datasets follow a **one-class training setting**, where **only normal (non-a
 The benchmark includes a total of **seven datasets**, spanning across various imaging modalities (X-ray, MRI, fundus, dermatoscopy, histopathology), and ensures unified data format and preprocessing to support fair and reproducible comparison of anomaly detection methods.
 ## Dataset Source
 - **Homepage**: [https://github.com/caiyu6666/MedIAnomaly](https://github.com/caiyu6666/MedIAnomaly)
 - **License**: [Apache License 2.0](http://www.apache.org/licenses/LICENSE-2.0)

 The benchmark includes a total of **seven datasets**, spanning across various imaging modalities (X-ray, MRI, fundus, dermatoscopy, histopathology), and ensures unified data format and preprocessing to support fair and reproducible comparison of anomaly detection methods.
+![dataset](https://huggingface.co/datasets/randall-lab/medianomaly/resolve/main/example.png)
 ## Dataset Source
 - **Homepage**: [https://github.com/caiyu6666/MedIAnomaly](https://github.com/caiyu6666/MedIAnomaly)
 - **License**: [Apache License 2.0](http://www.apache.org/licenses/LICENSE-2.0)