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Quick start with Hugging Face - Example of encoding a pathology image patch into an embedding vector by running the model locally from Hugging Face.
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Quick start with Vertex Model Garden - Example of serving the model on Vertex AI and using Vertex AI APIs to encode pathology image patches to embeddings in online or batch workflows.
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Train a data efficient classifier - GCS version - Example of using the generated embeddings to train a custom classifier with less data and compute. This version shows how to use the data as files in Cloud Storage (GCS).
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Train a data efficient classifier - DICOMWeb version - Example of using the generated embeddings to train a custom classifier with less data and compute. This version shows how to use the data as DICOM objects in Cloud DICOM store.
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Simplify client code with EZ-WSI - Instructions how to utilize EZ-WSI DicomWeb library to simplify client side code for working with DICOM data and generating embeddings from a variety of data sources including Cloud DICOM store, GCS, and locally stored files or in-memory data representations.
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Fine-tune data efficient classifier Example of fine-tuning the weights of the pathology embedding model to classify pathology image patches as an alternative to a linear classifier.
notebooks
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