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vindr-convnext-multiple-view
dpetrini/vindr-convnext-multiple-view
vindr-convnext-multiple-view is a machine learning model from dpetrini. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This is the ConvNext based multiple-view model from the paper: https://arxiv.org/abs/2503.19945.
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Updated Oct 22, 2025
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At a glance
- License
- mit
- Access
- Public
- Created
- Oct 22, 2025
- Updated
- Oct 22, 2025
- SHA
- 6afb605b
Model card
From the Hugging Face model README
This is the ConvNext based multiple-view model from the paper: https://arxiv.org/abs/2503.19945.
This model achieved the best (to my knowledge and by the time of the paper) AUC for Vindr-Mammo dataset.
This model achieves an AUC of 0.8511, considering two-views (CC and MLO) of each side of each exam.
To evaluate the performance of classifiers, we grouped the Bi-RADS categories into two broader classes: “Normal” for views classified as Bi-RADS 1 and 2, and “Abnormal” for views classified as Bi-RADS 3, 4, and 5.
Please find code and inference instructions here: https://github.com/dpetrini/multiple-view
- License
- mit
- Created
- Oct 22, 2025
- Updated
- Oct 22, 2025