TY  - BOOK
AU  - Yasrab,Robail
AU  - Fu,Zeyu
AU  - Drukker,Lior
AU  - Lee,Lok Hin
AU  - Zhao,He
AU  - Papageorghiou,Aris T.
AU  - Noble,Alison J.
TI  - End-to-end First Trimester Fetal Ultrasound Video Automated CRL and NT Segmentation
PY  - 2022///-04-28
KW  - Text
KW  - local
N1  - /pmc/articles/PMC7614066; /pubmed/36643819
N2  - This study presents a novel approach to automatic detection and segmentation of the Crown Rump Length (CRL) and Nuchal Translucency (NT), two essential measurements in the first trimester US scan. The proposed method automatically localises a standard plane within a video clip as defined by the UK Fetal Abnormality Screening Programme. A Nested Hourglass (NHG) based network performs semantic pixel-wise segmentation to extract NT and CRL structures. Our results show that the NHG network is faster (19.52% < GFlops than FCN32) and offers high pixel agreement (mean-IoU=80.74) with expert manual annotations
UR  - http://dx.doi.org/10.1109/ISBI52829.2022.9761400
ER  -