most citedAutomatic Segmentation of the Prostate on 3D Trans-rectal Ultrasound Images using Statistical Shape Models and Convolutional Neural Networks

2 citations · 2 across the 1 of their papers we have counts for

collaborators
Showing eess.IVShow all

2 papers · 1 filter

eess.IV2021★ 2 cited

Automatic Segmentation of the Prostate on 3D Trans-rectal Ultrasound Images using Statistical Shape Models and Convolutional Neural Networks

Golnoosh Samei, Davood Karimi, Claudia Kesch +1

In this work we propose to segment the prostate on a challenging dataset of trans-rectal ultrasound (TRUS) images using convolutional neural networks (CNNs) and statistical shape m…

eess.IV2019

A deep learning-based method for prostate segmentation in T2-weighted magnetic resonance imaging

Davood Karimi, Golnoosh Samei, Yanan Shao +1

We propose a novel automatic method for accurate segmentation of the prostate in T2-weighted magnetic resonance imaging (MRI). Our method is based on convolutional neural networks…