journal cover

Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks

Scientific Reports

Nov 9, 2018

Cem M DenizGregory Chang

Abstract

Magnetic resonance imaging (MRI) has been proposed as a complimentary method to measure bone quality and assess fracture risk. However, manual segmentation of MR images of bone is time-consuming, limiting the use of MRI measurements in the clinical practice. The purpose of this paper is...read more

Mentioned in this Paper

CNN1
Study
Biologic Segmentation
Magnetic Resonance Imaging
Research Subject
Pathological Dilatation
Cross Validation
Optical Image Reconstruction
Neural Stem Cells
Neural Network Simulation
73
137
Paper Details
References
  • References
  • Citations6
  • finger pointing at paper

    References currently unavailable

    We're still populating references for this paper, please check back later.
  • References
  • Citations6
1

Similar Papers Found In These Feeds

Neural Networks

Here is the latest research on physiological and in silico networks and circuits implicated in the nervous system.

Related Papers

Journal of Neuroscience Methods

Fast and robust segmentation of the striatum using deep convolutional neural networks

Journal of Neuroscience MethodsOctober 26, 2016
Hongyoon Choi, Kyong Hwan Jin
International Journal of Legal Medicine

Automated segmentation of the knee for age assessment in 3D MR images using convolutional neural networks

International Journal of Legal MedicineNovember 6, 2018
Paul-Louis PröveMarkus Auf der Mauer
© 2020 Meta ULC. All rights reserved

Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks

Scientific Reports

Nov 9, 2018

Cem M DenizGregory Chang

PMID: 30405145

DOI: 10.1038/s41598-018-34817-6

Abstract

Magnetic resonance imaging (MRI) has been proposed as a complimentary method to measure bone quality and assess fracture risk. However, manual segmentation of MR images of bone is time-consuming, limiting the use of MRI measurements in the clinical practice. The purpose of this paper is...read more

Mentioned in this Paper

CNN1
Study
Biologic Segmentation
Magnetic Resonance Imaging
Research Subject
Pathological Dilatation
Cross Validation
Optical Image Reconstruction
Neural Stem Cells
Neural Network Simulation
73
137

Similar Papers Found In These Feeds

Neural Networks

Here is the latest research on physiological and in silico networks and circuits implicated in the nervous system.

Related Papers

Journal of Neuroscience Methods

Fast and robust segmentation of the striatum using deep convolutional neural networks

Journal of Neuroscience MethodsOctober 26, 2016
Hongyoon Choi, Kyong Hwan Jin
International Journal of Legal Medicine

Automated segmentation of the knee for age assessment in 3D MR images using convolutional neural networks

International Journal of Legal MedicineNovember 6, 2018
Paul-Louis PröveMarkus Auf der Mauer
Paper Details
References
  • References
  • Citations6
  • finger pointing at paper

    References currently unavailable

    We're still populating references for this paper, please check back later.
  • References
  • Citations6
1
/papers/segmentation-of-the-proximal-femur-from-mr-images/30405145