Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view (2022-06-29T00:00:00.000000Z)

TL;DR

The approach can deliver whole placenta segmentation using a multi-view US acquisition pipeline consisting of three stages: multi-probe image acquisition, image fusion and image segmentation with reduced image artifacts which are beyond the field-of-view of single probes.

Authors

D. Rueckert

14 papers

A. Gómez

2 papers

Bernhard Kainz

2 papers

V. Zimmer

1 papers

E. Skelton

1 papers

R. Wright

1 papers

G. Wheeler

1 papers

S. Deng

1 papers

N. Ghavami

1 papers

K. Lloyd

1 papers

J. Matthew

1 papers

J. Hajnal

1 papers

J. Schnabel

1 papers

TL;DR

Authors

References77 items

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which is shown in InD, last example. Appendix B.2. Placenta segmentation - Multi-view Additional examplary

approximately 60% of the data I S is used for training, and 20% for both validation and testing. Di ﬀ erent folds had di ﬀ erent

surface and maternal skin

Appendix A.2. Data We perform a 5-fold cross-validation and each fold divides the patients in a test, training and validation set

amount of images for validation and testing (up to 10%) because of the heterogeneity of the data: each patient had a di ﬀ erent number of images, with and without manual segmentations