Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trials.

Sena AlaeikhanehshirMadelon M VoetsFrederieke H van DuijnhovenEsther H LipsEmma J GroenMarja C J van OirsouwShelley E HwangJoseph Y LoJelle WesselingRitse M MannJonas Teuwennull null

Published in: Cancer imaging : the official publication of the International Cancer Imaging Society (2024)

For both scenarios (DCIS grade I/II vs. III, DCIS grade I/II vs. III and/or IBC) AUCs were high, 0.72 and 0.76, respectively, concluding that our convolutional neural network can discriminate low-grade from high-grade DCIS.

Keyphrases

low grade
high grade
convolutional neural network
deep learning
climate change
artificial intelligence
physical activity
case report
machine learning