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Brain Segmentation

17 papers with code · Medical

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Unsupervised Deep Learning for Bayesian Brain MRI Segmentation

25 Apr 2019voxelmorph/voxelmorph

To develop a deep learning-based segmentation model for a new image dataset (e. g., of different contrast), one usually needs to create a new labeled training dataset, which can be prohibitively expensive, or rely on suboptimal ad hoc adaptation or augmentation approaches.

BRAIN IMAGE SEGMENTATION BRAIN SEGMENTATION FEW-SHOT IMAGE SEGMENTATION IMAGE REGISTRATION ZERO SHOT SEGMENTATION

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

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

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

Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks

7 Mar 2018abhi4ssj/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

3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles

28 Mar 2019MASILab/SLANT_brain_seg

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

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

12 Jan 2018abhi4ssj/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 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