ResearchTrend.AI
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

Bahareh Behboodi
H. Rivaz
ArXiv (abs)PDFHTML

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

5 / 5 papers shown
Title
Ultrasound Image Generation using Latent Diffusion Models
Ultrasound Image Generation using Latent Diffusion Models
Benoit Freiche
Anthony El-Khoury
Ali Nasiri-Sarvi
Mahdi S. Hosseini
Damien Garcia
Adrian Basarab
Mathieu Boily
Hassan Rivaz
MedIm
107
1
0
12 Feb 2025
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
73
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
56
25
0
02 Aug 2022
Improved Processing of Ultrasound Tongue Videos by Combining ConvLSTM and 3D Convolutional Networks
Improved Processing of Ultrasound Tongue Videos by Combining ConvLSTM and 3D Convolutional Networks
Amin Honarmandi Shandiz
L. Tóth
46
4
0
26 Jun 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
48
8
0
20 Sep 2021

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.