**This model is pre-trained from Beit-base-patch16-224**

DataSets
- Non-small carcinoma dataset. (2020). Chest CT-Scan images Dataset. https://www.kaggle.com/datasets/mohamedhanyyy/chest-ctscan-images
- Normal CT scan slice. (2021). Large COVID-19 CT scan slice dataset. https://www.kaggle.com/datasets/maedemaftouni/large-covid19-ct-slice-dataset
- NSCLC-Radiomics. (2023). 	The Cancer Imaging Archive (TCIA) Public Access. https://wiki.cancerimagingarchive.net/display/Public/NSCLC-Radiomics

Developers
- Phakkhaphon Artburai
- Santipab Tongchan
- Natthawee Naewkumpol
{"license": "mit", "metrics": ["accuracy"], "pipeline_tag": "image-classification"}
transformers pytorch beit image-classification license:mit autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #beit #image-classification #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 

This model is pre-trained from Beit-base-patch16-224

DataSets
- Non-small carcinoma dataset. (2020). Chest CT-Scan images Dataset. URL
- Normal CT scan slice. (2021). Large COVID-19 CT scan slice dataset. URL
- NSCLC-Radiomics. (2023). 	The Cancer Imaging Archive (TCIA) Public Access. URL

Developers
- Phakkhaphon Artburai
- Santipab Tongchan
- Natthawee Naewkumpol
TAGS
#transformers #pytorch #beit #image-classification #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 

TAGS
#transformers #pytorch #beit #image-classification #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
