journal cover

One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks

NeuroImage. Clinical

Dec 18, 2018

Sergi ValverdeXavier Lladó

Abstract

In recent years, several convolutional neural network (CNN) methods have been proposed for the automated white matter lesion segmentation of multiple sclerosis (MS) patient images, due to their superior performance compared with those of other state-of-the-art methods. However, the accu...read more

Mentioned in this Paper

CNN1
Study
Biological Neural Networks
Magnetic Resonance Imaging
Neural Stem Cells
Neural Network Simulation
Mass Spectrometry
Adaptation
Public Entity
Centrosomin protein, Drosophila
Paper Details
References
  • References
  • Citations1
  • finger pointing at paper

    References currently unavailable

    We're still populating references for this paper, please check back later.
  • References
  • Citations1

Similar Papers Found In These Feeds

Multiple Sclerosis

Multiple Sclerosis is a demyelinating autoimmune disease of the CNS, resulting in symptoms including optic neuritis and motor weakness. Discover the latest research on Multiple Sclerosis here.

Imaging Mass Spectrometry

Imaging mass spectrometry enables the visualization and assessment of the spatial distribution of molecules, including biomarkers and metabolites, based on their molecular mass. Here is the latest research.

Cell Adhesion Molecules in the Brain

Cell adhesion molecules found on cell surface help cells bind with other cells or the extracellular matrix to maintain structure and function. Here is the latest research on their role in the brain.

Multiple Sclerosis: Diagnostic Methods

Multiple Sclerosis (MS) is a demyelinating autoimmune disease of the CNS, resulting in symptoms including optic neuritis and motor weakness. Here is the latest research on development and application of methods for diagnosis of MS.

MS: Therapies

The feed focuses on therapeutic interventions used to treat Multiple Sclerosis.

Multiple Sclerosis: Imaging

Magnetic resonance imaging has been used to diagnose and monitor the disease progression in multiple sclerosis. MRI has improved the management of MS patients and provided information on the level of atrophy in the brain and the severity of the disease. Discover the latest research on multiple sclerosis imaging here.

Neural Networks

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

© 2020 Meta ULC. All rights reserved

One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks

NeuroImage. Clinical

Dec 18, 2018

Sergi ValverdeXavier Lladó

PMID: 30555005

DOI: 10.1016/j.nicl.2018.101638

Abstract

In recent years, several convolutional neural network (CNN) methods have been proposed for the automated white matter lesion segmentation of multiple sclerosis (MS) patient images, due to their superior performance compared with those of other state-of-the-art methods. However, the accu...read more

Mentioned in this Paper

CNN1
Study
Biological Neural Networks
Magnetic Resonance Imaging
Neural Stem Cells
Neural Network Simulation
Mass Spectrometry
Adaptation
Public Entity
Centrosomin protein, Drosophila

Similar Papers Found In These Feeds

Multiple Sclerosis

Multiple Sclerosis is a demyelinating autoimmune disease of the CNS, resulting in symptoms including optic neuritis and motor weakness. Discover the latest research on Multiple Sclerosis here.

Imaging Mass Spectrometry

Imaging mass spectrometry enables the visualization and assessment of the spatial distribution of molecules, including biomarkers and metabolites, based on their molecular mass. Here is the latest research.

Related Papers

Paper Details
References
  • References
  • Citations1
  • finger pointing at paper

    References currently unavailable

    We're still populating references for this paper, please check back later.
  • References
  • Citations1
/papers/one-shot-domain-adaptation-in-multiple-sclerosis/30555005