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BeiT_NSCLC_lr2e-5
alicelouis/BeiT_NSCLC_lr2e-5
BeiT_NSCLC_lr2e-5 is a image classification model from alicelouis. Use it when you need a label for an image. It is set up for transformers. The card lists the license as mit.
This model is pre-trained from Beit-base-patch16-224
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- mit
- Model type
- beit
- Access
- Public
- Created
- Apr 18, 2023
- Updated
- Apr 18, 2023
- SHA
- 1642f7da
Model card
From the Hugging Face model README
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
- Task
- Image Classification
- Library
- transformers
- Type
- beit
- License
- mit
- Created
- Apr 18, 2023
- Updated
- Apr 18, 2023