Using automated software evaluation to improve the performance of breast radiographers in tomosynthesis screening.

Gisella GennaroLetizia PovoloSara Del GenioLina CiampaniChiara FasoliPaolo CarlevarisMaria PetrioliTiziana MasieroFederico MaggettoFrancesca Caumo

Published in: European radiology (2023)

• Proper breast positioning and compression are critical in breast cancer screening to ensure accurate diagnosis. • Active use of the software increased the quality of craniocaudal and mediolateral oblique views acquired by all radiographers. • Improved performance of radiographers is expected to improve screening outcomes.

Keyphrases

machine learning
high throughput
deep learning
high resolution
magnetic resonance imaging
magnetic resonance
metabolic syndrome
image quality