---
license: mit
pipeline_tag: image-classification
tags:
- medical
---
## Model Details

<!-- Provide a quick summary of what the model is/does. -->

This model is trained on 224X224 Grayscale images which are CT-scans
that are transformed into JPEG. The model is a finetuned version of 
[Swin Transformer (tiny-sized model)](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224).
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). 



## Uses

The model can be used to classify JPEG images of CT scans into either cancer positive or
Cancer negative groups.



### Out-of-Scope Use

This model is not meant to be used in place of medical diagnosis


## How to Use
from transformers import pipeline, set_seed