Comparison and verification of two deep learning models for the detection of chest CT rib fractures.

Hongbiao SunXu ShaochunWang XiangTang YuRunLu YangMingzi ZhangYang HuaZhao KeyangFu Chi-ChengFang QuGu PengchenXiao YiShiyuan Liu

Published in: Acta radiologica (Stockholm, Sweden : 1987) (2022)

The sensitivity and efficiency of radiologists in identifying rib fractures can be improved by using RibFrac-HS and/or RibFrac-HP. With an added module for false-positive suppression, RibFrac-HP maintains the sensitivity and increases the PPV in fracture detection compared to Rib-Frac-HS.

Keyphrases

deep learning
loop mediated isothermal amplification
artificial intelligence
real time pcr
label free
computed tomography
machine learning
image quality