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Brain Segmentation

15 papers with code · Medical

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Latest papers with code

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

1
04 Apr 2019

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

30
28 Mar 2019

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

5
24 Nov 2018

Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

29 Oct 2018arnab39/FewShot_GAN-Unet3D

In addition, our work presents a comprehensive analysis of different GAN architectures for semi-supervised segmentation, showing recent techniques like feature matching to yield a higher performance than conventional adversarial training approaches.

3D MEDICAL IMAGING SEGMENTATION BRAIN IMAGE SEGMENTATION BRAIN SEGMENTATION FEW-SHOT IMAGE SEGMENTATION SEMI-SUPERVISED SEMANTIC SEGMENTATION

117
29 Oct 2018

MRI Super-Resolution using Multi-Channel Total Variation

8 Oct 2018WTCN-computational-anatomy-group/MTVprocess3D

This paper presents a generative model for super-resolution in routine clinical magnetic resonance images (MRI), of arbitrary orientation and contrast.

BRAIN SEGMENTATION SUPER RESOLUTION

0
08 Oct 2018

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

30
01 Jun 2018

HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation

9 Apr 2018josedolz/HyperDenseNet

Therefore, the proposed network has total freedom to learn more complex combinations between the modalities, within and in-between all the levels of abstraction, which increases significantly the learning representation.

BRAIN SEGMENTATION IMAGE CLASSIFICATION MULTI-MODAL IMAGE SEGMENTATION REPRESENTATION LEARNING SEMANTIC SEGMENTATION

68
09 Apr 2018

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

58
07 Mar 2018

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

5
19 Jan 2018