Robust multi-vendor breast region segmentation using deep learning
Conclusion: Transpara can provide robust breast region segmentations in a multimodal multi-vendor setting.
Read moreConclusion: Transpara can provide robust breast region segmentations in a multimodal multi-vendor setting.
Read moreConclusion: Mechanical imaging (MI) estimates the relative stiffness of suspicious breast abnormalities by measuring the distribution of pressure on
Read moreConclusion: Using Transpara as a second reader in a double reading setting, workload could be reduced by 44%, without an
Read moreConclusion: Using DBT only for cases marked as highly suspicious by Transpara in mammography could be an alternative to a
Read moreConclusion: Transpara risk categorization is not affected by density. Transpara has the potential to improve screening sensitivity even for women
Read moreConclusion: Transpara can improve breast cancer screening efficiency by pre-selecting likely normal exams where double-reading can be safely replaced by
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