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This repository contains a fine-tuned version of BiomedCLIP (specifically the PubMedBERT_256-vit_base_patch16_224 variant) using OpenCLIP. The model is trained to recognize and classify various medical images (e.g., chest X-rays, histopathology slides) in a zero-shot manner. It was further adapted on a subset of medical data (e.g., from the WinterSchool/MedificsDataset) to enhance performance on specific image classes.
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Model Details
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---
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license: mit
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datasets:
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- WinterSchool/MedificsDataset
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language:
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- en
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metrics:
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- accuracy
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base_model:
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- microsoft/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224
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tags:
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- medical
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- clip
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- fine-tuned
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- zero-shot
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This repository contains a fine-tuned version of BiomedCLIP (specifically the PubMedBERT_256-vit_base_patch16_224 variant) using OpenCLIP. The model is trained to recognize and classify various medical images (e.g., chest X-rays, histopathology slides) in a zero-shot manner. It was further adapted on a subset of medical data (e.g., from the WinterSchool/MedificsDataset) to enhance performance on specific image classes.
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Model Details
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