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VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images

NeuroImage

Apr 27, 2017

Hao ChenPheng Ann Heng

Abstract

Segmentation of key brain tissues from 3D medical images is of great significance for brain disease diagnosis, progression assessment and monitoring of neurologic conditions. While manual segmentation is time-consuming, laborious, and subjective, automated segmentation is quite challeng...read more

Mentioned in this Paper

Study
Biologic Segmentation
Brain Diseases
Diagnostic Radiology Modality
Magnetic Resonance Imaging
Three-dimensional
Brain
Environment
Procedure on Brain
Evaluation
1
381
Paper Details
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VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images

NeuroImage

Apr 27, 2017

Hao ChenPheng Ann Heng

PMID: 28445774

DOI: 10.1016/j.neuroimage.2017.04.041

Abstract

Segmentation of key brain tissues from 3D medical images is of great significance for brain disease diagnosis, progression assessment and monitoring of neurologic conditions. While manual segmentation is time-consuming, laborious, and subjective, automated segmentation is quite challeng...read more

Mentioned in this Paper

Study
Biologic Segmentation
Brain Diseases
Diagnostic Radiology Modality
Magnetic Resonance Imaging
Three-dimensional
Brain
Environment
Procedure on Brain
Evaluation
1
381

Similar Papers Found In These Feeds

Magnetic Resonance Imaging: Brain

Magnetic Resonance Imaging (MRI) is a non-invasive imaging technique that uses a powerful magnetic field and radio waves to generate images of the area of interest. MRI of the brain is commonly performed to visualize the brain and related structures in detail. Discover the latest research of MRI and the brain here.

Neural Dynamics in Primates

Here is the latest research on neuroelectrophysiology and thalmo-cortical and neural dynamics in primates.

Related Papers

IEEE Transactions on Medical Imaging

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

IEEE Transactions on Medical ImagingDecember 28, 2016
Lequan YuPheng-Ann Heng
IEEE Journal of Biomedical and Health Informatics

Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos

IEEE Journal of Biomedical and Health InformaticsJanuary 24, 2017
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Paper Details
References
  • References
  • Citations20
  • finger pointing at paper

    References currently unavailable

    We're still populating references for this paper, please check back later.
  • References
  • Citations20
12
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