Magnetic resonance imaging‐based three‐dimensional modeling of pregnant pelvis for fetoscopic surgical planning

Computer‐assisted fetal laser surgery in the treatment of twin‐to‐twin transfusion syndrome: Recent trends and prospects

“…The reported mean F1‐score between the ground truth data and placental segmentation results using ultrasound data is slightly higher than the F1‐score for MRI data, respectively, 0.79 and 0.75 13–19 . It is the other way around for vasculature segmentation, where ultrasound had a lower mean F1‐score than MRI, respectively, 0.65 and 0.81 13–16,18 .…”

“…[13][14][15][16] With MRI data, more structures have been segmented, for example, soft tissue, the intrauterine cavity, and the fetal brain. 17 The reported mean F1-score between the ground truth data and placental segmentation results using ultrasound data is slightly higher than the F1-score for MRI data, respectively, 0.79 and 0.75. [13][14][15][16][17][18][19] It is the other way around for vasculature segmentation, where ultrasound had a lower mean F1-score than MRI, respectively, 0.65 and 0.81.…”

“…17 The reported mean F1-score between the ground truth data and placental segmentation results using ultrasound data is slightly higher than the F1-score for MRI data, respectively, 0.79 and 0.75. [13][14][15][16][17][18][19] It is the other way around for vasculature segmentation, where ultrasound had a lower mean F1-score than MRI, respectively, 0.65 and 0.81. [13][14][15][16]18 In our method, we also selected the umbilical cord as an important anatomical structure; however, not many authors have focused on umbilical cord segmentation.…”

“…Ultrasound segmentation has mainly focused on the segmentation of the placenta and its vasculature, using 3D and 4D ultrasound imaging 13–16 . With MRI data, more structures have been segmented, for example, soft tissue, the intrauterine cavity, and the fetal brain 17 …”