An effective fine grading method of BI-RADS classification in mammography.

Fei LinHang SunLu HanJing LiNan BaoHong LiJing ChenShi ZhouTao Yu

Published in: International journal of computer assisted radiology and surgery (2021)

A BI-RADS fine grading (2, 3, 4A, 4B, 4C, 5) prediction model was proposed. Through the evaluation from different datasets, the performance is proved higher than that of the doctors, which may provide great help for clinical BI-RADS classification diagnosis. Therefore, our method can produce more effective and reliable results.

Keyphrases

machine learning
deep learning
air pollution
contrast enhanced
magnetic resonance imaging
rna seq
magnetic resonance
medical students
image quality
single cell