A Workflow to Efficiently Generate Dense Tissue Ground Truth Masks for Digital Breast Tomosynthesis

Researchers have developed an efficient workflow to generate dense tissue ground truth masks for digital breast tomosynthesis (DBT), significantly reducing annotation time by requiring only central slice delineation. This innovation is crucial for improving personalized risk assessment in breast cancer screening and advancing algorithm development with scarce training data, potentially leading to more accurate and faster diagnostic tools.

Read the full article at arXiv cs.CV (Vision)

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