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--- |
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license: mit |
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pipeline_tag: image-classification |
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tags: |
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- medical |
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--- |
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## Model Details |
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<!-- Provide a quick summary of what the model is/does. --> |
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This model is trained on 224X224 Grayscale images which are CT-scans |
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that are transformed into JPEG. The model is a finetuned version of |
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[Swin Transformer (tiny-sized model)](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224). |
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I also used this tutorial.[Swin Transformer (tiny-sized model)](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/image_classification.ipynb#scrollTo=UX6dwmT7GP91). |
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## Uses |
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The model can be used to classify JPEG images of CT scans into either cancer positive or |
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Cancer negative groups. |
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### Out-of-Scope Use |
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This model is not meant to be used in place of medical diagnosis |
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## How to Use |
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from transformers import pipeline, set_seed |
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