Login / Signup

Deep learning performance for detection and classification of microcalcifications on mammography.

Filippo PesapaneChiara TrentinFederica FerrariGiulia SignorelliPriyan TantrigeMarta MontesanoCrispino CicalaRoberto VirgoliSilvia D'AcquistoLuca NicosiaDaniela OriggiEnrico Cassano
Published in: European radiology experimental (2023)
• A novel AI tool was developed and tested to aid radiologists in the interpretation of mammography by accurately detecting and characterizing microcalcifications. • Three neural networks (AlexNet, ResNet18, and ResNet34) were trained, validated, and tested using an annotated dataset of 1,000 patients and 1,986 mammograms. • The AI tool demonstrated high accuracy in detecting/localizing and characterizing microcalcifications on mammography, highlighting the potential of AI-based systems to assist radiologists in the interpretation of mammograms.
Keyphrases