New AI Architecture Sharpens Breast Tumor Detection Across Four Imaging Modalities
Researchers have developed a Swin Transformer-based U-Net with a novel SECA cross-attention decoder that improves breast tumor segmentation accuracy across ...
Researchers have developed a Swin Transformer-based U-Net with a novel SECA cross-attention decoder that improves breast tumor segmentation accuracy across ...
A Cornell study of ten canine oral tumors found that while specialists agreed closely on tumor volume and center, the ...
A comprehensive review of 53 studies shows deep learning systems can automatically segment lymphoma lesions on PET/CT, non-invasively classify disease, ...
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© 2025 Scienmag - Science Magazine