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Ultrasound segmentation using U-Net: learning from simulated data and
  testing on real data

Ultrasound segmentation using U-Net: learning from simulated data and testing on real data

24 April 2019
Bahareh Behboodi
H. Rivaz
ArXivPDFHTML

Papers citing "Ultrasound segmentation using U-Net: learning from simulated data and testing on real data"

3 / 3 papers shown
Title
Self-Supervised Learning with Limited Labeled Data for Prostate Cancer
  Detection in High Frequency Ultrasound
Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound
P. Wilson
Mahdi Gilany
A. Jamzad
Fahimeh Fooladgar
Minh-Son To
Brian Wodlinger
Purang Abolmaesumi
P. Mousavi
42
12
0
01 Nov 2022
On the role of benchmarking data sets and simulations in method
  comparison studies
On the role of benchmarking data sets and simulations in method comparison studies
Sarah Friedrich
T. Friede
32
24
0
02 Aug 2022
Automatic 3D Ultrasound Segmentation of Uterus Using Deep Learning
Automatic 3D Ultrasound Segmentation of Uterus Using Deep Learning
Bahareh Behboodi
H. Rivaz
S. Lalondrelle
E. Harris
28
8
0
20 Sep 2021
1