SEFCA-Net: a semantic-edge-frequency cross-attention network for diabetic retinopathy lesion segmentation

CONCLUSIONS: SEFCA-Net shows that semantic features can remain the main decoding stream while boundary-sensitive features and texture-sensitive responses are integrated in a controlled manner.