International Conference Proceedings Archives

News

Robust multi-vendor breast region segmentation using deep learning

Conclusion: Transpara can provide robust breast region segmentations in a multimodal multi-vendor setting.

Artificial intelligence together with mechanical imaging in mammography

Conclusion: Mechanical imaging (MI) estimates the relative stiffness of suspicious breast abnormalities by measuring the distribution of pressure on

Can AI serve as an independent second reader of mammograms? a simulation study

Conclusion: Using Transpara as a second reader in a double reading setting, workload could be reduced by 44%, without an

Personalised breast cancer screening with selective addition of digital breast tomosynthesis through artificial intelligence

Conclusion: Using DBT only for cases marked as highly suspicious by Transpara in mammography could be an alternative to a

The effect of breast density on the performance of deep learning-based breast cancer detection methods for mammography

Conclusion: Transpara risk categorization is not affected by density. Transpara has the potential to improve screening sensitivity even for women

Going from double to single reading for screening exams labeled as likely normal by AI: what is the impact?

Conclusion: Transpara can improve breast cancer screening efficiency by pre-selecting likely normal exams where double-reading can be safely replaced by

Our Latest News