AI trained on synthetic images makes accurate cancer diagnoses

A machine learning method trained on synthetic breast ultrasound elastography images accurately classified tumors when applied to real-world images.Matt O'Connor | Artificial Intelligence | Health Imaging

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ABUS better than DBT for diagnostic workup

Automated breast ultrasound (ABUS) is more accurate than digital breast tomosynthesis (DBT) as a diagnostic tool for working up positive findings on mammography screening in dense breast tissue. By Kate Madden Yee, AuntMinnie.com staff writer

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DBT is comparable to FFDM for detecting benign lesions

Digital breast tomosynthesis (DBT) is comparable to full-field digital mammography (FFDM) for identifying benign breast lesions. | AuntMinnie.com | By Kate Madden Yee, staff writer

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Multiparametric MRI shines for suspected breast cancer

Dynamic contrast-enhanced MRI (DCE-MRI) and diffusion-weighted imaging (DWI-MRI) each have advantages and disadvantages for assessing suspicious breast lesions. The optimal approach is multiparametric MRI (mpMRI) using both methods, according to a new study published online in Investigative Radiology by Wayne Forrest, AuntMinnie.com

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DBT improves breast cancer screening in young women

Adding digital breast tomosynthesis (DBT) to digital mammography improves breast cancer screening in women younger than 50, decreasing recalls and finding more cancers in those who have dense tissue by Kate Madden Yee, AuntMinnie.com

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