Deep learning method for segmentation of rotator cuff muscles on MR images
Objective To develop and validate a deep convolutional neural network (CNN) method
capable of (1) selecting a specific shoulder sagittal MR image (Y-view) and (2) automatically …
capable of (1) selecting a specific shoulder sagittal MR image (Y-view) and (2) automatically …
Automatic MRI segmentation of pectoralis major muscle using deep learning
IRB Godoy, RP Silva, TC Rodrigues, AY Skaf… - Scientific Reports, 2022 - nature.com
To develop and validate a deep convolutional neural network (CNN) method capable of
selecting the greatest Pectoralis Major Cross-Sectional Area (PMM-CSA) and automatically …
selecting the greatest Pectoralis Major Cross-Sectional Area (PMM-CSA) and automatically …
Imaging of idle breast implants with ultrasound-strain elastography-A first experimental study to establish criteria for accurate imaging of idle implants via ultrasound …
B Kuehlmann, L Prantl… - Clinical Hemorheology …, 2015 - content.iospress.com
AIM: To investigate whether there are fundamental sonographic and elastographic criteria to
precisely assess different surfaces and fillings of idle breast implants and to determine their …
precisely assess different surfaces and fillings of idle breast implants and to determine their …
A novel elastographic frame quality indicator and its use in automatic representative-frame selection from a cine loop
BR Chintada, AV Subramani, B Raghavan… - Ultrasound in Medicine & …, 2017 - Elsevier
This study was aimed at developing a method for automatically selecting a few
representative frames from several hundred axial-shear strain elastogram frames typically …
representative frames from several hundred axial-shear strain elastogram frames typically …
Supervised classification of the accuracy of the time delay estimation in ultrasound elastography
MG Amidabadi, MO Ahmad… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
The accuracy of time-delay estimation (TDE) in ultrasound elastography is usually measured
by calculating the value of normalized cross correlation (NCC) at the estimated …
by calculating the value of normalized cross correlation (NCC) at the estimated …
Automatic accuracy assessment of ultrasound elastography using correlation profile and prior information of displacement continuity
MG Amidabadi, MO Ahmad… - 2017 IEEE Global …, 2017 - ieeexplore.ieee.org
Calculation of the Normalized Cross Correlation (NCC) at the estimated displacement has
been usually the only way to assess the accuracy of Time-Delay Estimation (TDE) in …
been usually the only way to assess the accuracy of Time-Delay Estimation (TDE) in …
Accuracy Assessment of Time Delay Estimation in Ultrasound Elastography
M Ghasemi Amidabadi - 2018 - spectrum.library.concordia.ca
The accuracy of time-delay estimation (TDE) in ultrasound elastography is usually measured
by calculating the value of the normalized cross correlation (NCC) at the estimated …
by calculating the value of the normalized cross correlation (NCC) at the estimated …
頭部CT 画像における基底核を含む断面画像の自動選択
李鎔範， 高橋規之， 長谷川晃 - 医用画像情報学会雑誌, 2016 - jstage.jst.go.jp
抄録 The purpose of this study is to develop an automated selection method for cross‐
sectional images with basal ganglia from brain CT scan. The proposed method includes …
sectional images with basal ganglia from brain CT scan. The proposed method includes …