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SFA-Net

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The complete PyTorch code for “SFA-Net” will be uploaded after the paper is accepted.

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Name		Name	Last commit message	Last commit date
dataloader		dataloader
utils		utils
README.md		README.md
pre.py		pre.py
reli.py		reli.py
requirements.txt		requirements.txt

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SFA-Net

The complete PyTorch code for “SFA-Net” will be uploaded after the paper is accepted.

Data preparation:

BUSI dataset: Download the BUSI dataset from Official Website.
Dataset B: Download the Dataset B from Official Website.
BUSBRA dataset: Download the BUSBRA dataset from Official Website.
TN3K dataset: Download the TN3K dataset from Official Website .

Pretrained model:

You should download the pretrained PVT model from Google Drive or PVT GitHub.

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The complete PyTorch code for “SFA-Net” will be uploaded after the paper is accepted.

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