Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence
Marco Caballo(Radboud University Medical Center), Ioannis Sechopoulos(Radboud University Nijmegen), Ritse M. Mann(Radboud University Medical Center), Domenico R. Pangallo(Radboud University Nijmegen)
Cited by 73
Related Papers
Breast MRI: guidelines from the European Society of Breast Imaging
|European Radiology|2008|819
Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists
|JNCI Journal of the National Cancer Institute|2018|674
Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System
|Radiology|2018|601
A review of breast tomosynthesis. Part I. The image acquisition process
|Medical Physics|2013|424
Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the art
|Seminars in Cancer Biology|2020|325