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Confident Head Circumference Measurement from Ultrasound with Real-time
  Feedback for Sonographers

Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers

7 August 2019
Samuel Budd
Matthew Sinclair
Bishesh Khanal
Jacqueline Matthew
D. Lloyd
A. Gómez
N. Toussaint
E. C. Robinson
Bernhard Kainz
ArXivPDFHTML

Papers citing "Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers"

5 / 5 papers shown
Title
FUSQA: Fetal Ultrasound Segmentation Quality Assessment
FUSQA: Fetal Ultrasound Segmentation Quality Assessment
Sevim Cengiz
Ibrahim Almakk
Mohammad Yaqub
16
0
0
08 Mar 2023
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of
  Uncertainty and Limited Field-of-View
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View
V. Zimmer
A. Gómez
E. Skelton
Robert Wright
G. Wheeler
...
Jacqueline Matthew
Bernhard Kainz
Daniel Rueckert
Joseph V. Hajnal
J. Schnabel
17
22
0
29 Jun 2022
Deep Learning Fetal Ultrasound Video Model Match Human Observers in
  Biometric Measurements
Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements
Szymon Płotka
Adam Klasa
Aneta Lisowska
Joanna Seliga-Siwecka
M. Lipa
Tomasz Trzciñski
Arkadiusz Sitek
24
33
0
27 May 2022
A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis
A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis
M. C. Fiorentino
Francesca Pia Villani
M. D. Cosmo
Emanuele Frontoni
S. Moccia
19
101
0
28 Jan 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
267
9,136
0
06 Jun 2015
1