A printer optimized for high-resolution, full-field digital mammography has entered the Agfa product line. The high-resolution 508 ppi images produced by the new unit, Drystar 4500 M, enable the viewing of subtle gray-scale changes, which is vital in the
A printer optimized for high-resolution, full-field digital mammography has entered the Agfa product line. The high-resolution 508 ppi images produced by the new unit, Drystar 4500 M, enable the viewing of subtle gray-scale changes, which is vital in the interpretation of mammograms. The unit is capable of processing up to 80 sheets of 8 x 10-inch films and 60 sheets of 10 x 12-inch films per hour.
Could a Deep Learning Model for Mammography Improve Prediction of DCIS and Invasive Breast Cancer?
April 15th 2024Artificial intelligence (AI) assessment of mammography images may significantly enhance the prediction of invasive breast cancer and ductal carcinoma in situ (DCIS) in women with breast cancer, according to new research presented at the Society for Breast Imaging (SBI) conference.
Mammography-Based AI Abnormality Scoring May Improve Prediction of Invasive Upgrade of DCIS
April 9th 2024Emerging research suggests that an artificial intelligence (AI) score of 75 or greater for mammography abnormalities more than doubles the likelihood of invasive upgrade of ductal carcinoma in situ (DCIS) diagnosed with percutaneous biopsy.
Mammography Study: AI Improves Breast Cancer Detection and Reduces Reading Time with DBT
April 3rd 2024An emerging artificial intelligence (AI) model demonstrated more than 12 percent higher specificity and reduced image reading time by nearly six seconds in comparison to unassisted radiologist interpretation of digital breast tomosynthesis (DBT) images.