Identifying factors that may influence the classification performance of radiomics models using contrast-enhanced mammography (CEM) images.

Yuqi SunSimin WangZiang LiuChao YouRuimin LiNing MaoShaofeng DuanHenry S LynnYajia Gu

Published in: Cancer imaging : the official publication of the International Cancer Imaging Society (2022)

Lesion size and artifacts in CEM images may affect the diagnostic performance of radiomics models. The classification results for lesions presenting with certain factors may be less reliable.

Keyphrases

contrast enhanced
deep learning
diffusion weighted
magnetic resonance imaging
magnetic resonance
computed tomography
convolutional neural network
machine learning
diffusion weighted imaging
optical coherence tomography
case report
image quality
lymph node metastasis