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Brain Segmentation

12 papers with code · Medical

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3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

12 Dec 2016josedolz/LiviaNET

To the best of our knowledge, our work is the first to study subcortical structure segmentation on such large-scale and heterogeneous data.

3D MEDICAL IMAGING SEGMENTATION BRAIN SEGMENTATION

Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks

7 Mar 2018ai-med/squeeze_and_excitation

Fully convolutional neural networks (F-CNNs) have set the state-of-the-art in image segmentation for a plethora of applications.

BRAIN SEGMENTATION IMAGE CLASSIFICATION SEMANTIC SEGMENTATION

QuickNAT: A Fully Convolutional Network for Quick and Accurate Segmentation of Neuroanatomy

12 Jan 2018ai-med/QuickNATv2

We introduce QuickNAT, a fully convolutional, densely connected neural network that segments a \revision{MRI brain scan} in 20 seconds.

BRAIN SEGMENTATION DECISION MAKING

3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles

28 Mar 2019MASILab/SLANTbrainSeg

To address the first challenge, multiple spatially distributed networks were used in the SLANT method, in which each network learned contextual information for a fixed spatial location.

BRAIN SEGMENTATION

Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data

1 Jun 2018MASILab/SLANT_brain_seg

Whole brain segmentation on a structural magnetic resonance imaging (MRI) is essential in non-invasive investigation for neuroanatomy.

BRAIN SEGMENTATION

3D Densely Convolutional Networks for Volumetric Segmentation

11 Sep 2017tbuikr/3D_DenseSeg

The proposed network architecture provides a dense connection between layers that aims to improve the information flow in the network.

BRAIN SEGMENTATION INFANT BRAIN MRI SEGMENTATION SEMANTIC SEGMENTATION

Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality Control

24 Nov 2018abhi4ssj/BayesianQuickNAT

Next to voxel-wise uncertainty, we introduce four metrics to quantify structure-wise uncertainty in segmentation for quality control.

BRAIN SEGMENTATION

Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging

19 Jan 2018NIC-VICOROB/tissue_segmentation_comparison

Accurate brain tissue segmentation in Magnetic Resonance Imaging (MRI) has attracted the attention of medical doctors and researchers since variations in tissue volume help in diagnosing and monitoring neurological diseases.

BRAIN SEGMENTATION

On Direct Distribution Matching for Adapting Segmentation Networks

4 Apr 2019anonymauthor/DDMSegNet

We juxtapose our approach to state-of-the-art segmentation adaptation via adversarial training in the network-output space.

BRAIN SEGMENTATION DOMAIN ADAPTATION IMAGE CLASSIFICATION