Tracked 3D ultrasound and deep neural network-based thyroid segmentation reduce interobserver variability in thyroid volumetry
基于三维超声和深度神经网络的甲状腺分割技术可降低甲状腺体积测量中的观察者间差异。
期刊:PLoS One
影响因子:2.6
doi:10.1371/journal.pone.0268550
Krönke, Markus; Eilers, Christine; Dimova, Desislava; Köhler, Melanie; Buschner, Gabriel; Schweiger, Lilit; Konstantinidou, Lemonia; Makowski, Marcus; Nagarajah, James; Navab, Nassir; Weber, Wolfgang; Wendler, Thomas