What is it about?
3D breast X-ray images have remarkable ability to detect breast cancer. W applied self attention GCN to 3D breast X-ray images to classify breast cancer. This is first time the self attention GCN applied to full 3D breast X-ray images for breast cancer classification.
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Photo by Angiola Harry on Unsplash
Why is it important?
We find that GCN can be applied for small 3D breast cancer dataset.
Perspectives
I hope this article can attract researchers' interests in applying graph learning in medical images.
Jun Bai
University of Connecticut
Read the Original
This page is a summary of: Applying graph convolution neural network in digital breast tomosynthesis for cancer classification, August 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3535508.3545549.
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