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Brain Image Segmentation

6 papers with code · Medical

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Enforcing temporal consistency in Deep Learning segmentation of brain MR images

13 Jun 2019bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets

Proposed CNN based segmentation approaches demonstrate how 2D segmentation using prior slices can provide similar results to 3D segmentation while maintaining good continuity in the 3D dimension and improved speed.

3D MEDICAL IMAGING SEGMENTATION 4D SPATIO TEMPORAL SEMANTIC SEGMENTATION BRAIN IMAGE SEGMENTATION SEMANTIC SEGMENTATION

216
13 Jun 2019

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 SEMANTIC SEGMENTATION IMAGE REGISTRATION ZERO SHOT SEGMENTATION

568
25 Apr 2019

Global Deep Learning Methods for Multimodality Isointense Infant Brain Image Segmentation

10 Dec 2018zhengyang-wang/3D-Unet--Tensorflow

An important step in early brain development study is to perform automatic segmentation of infant brain magnetic resonance (MR) images into cerebrospinal fluid (CSF), gray matter (GM) and white matter (WM) regions.

BRAIN IMAGE SEGMENTATION SEMANTIC SEGMENTATION

81
10 Dec 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 SEMANTIC SEGMENTATION SEMI-SUPERVISED SEMANTIC SEGMENTATION

175
29 Oct 2018

FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics

16 Dec 2016GunhoChoi/FusionNet-Pytorch

Electron microscopic connectomics is an ambitious research direction with the goal of studying comprehensive brain connectivity maps by using high-throughput, nano-scale microscopy.

BRAIN IMAGE SEGMENTATION IMAGE CLASSIFICATION SEMANTIC SEGMENTATION

84
16 Dec 2016