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Brain Image Segmentation

6 papers with code ยท Medical

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Brain Segmentation from k-space with End-to-end Recurrent Attention Network

5 Dec 2018

The task of medical image segmentation commonly involves an image reconstruction step to convert acquired raw data to images before any analysis.

BRAIN IMAGE SEGMENTATION BRAIN SEGMENTATION IMAGE RECONSTRUCTION SEMANTIC SEGMENTATION

Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net

10 Nov 2018

Brain image segmentation is used for visualizing and quantifying anatomical structures of the brain.

BRAIN IMAGE SEGMENTATION BRAIN SEGMENTATION SEMANTIC SEGMENTATION

The Method of Multimodal MRI Brain Image Segmentation Based on Differential Geometric Features

10 Nov 2018

In this paper, we use the differential geometric information including JD and CV as image characteristics to measure the differences between different MRI images, which represent local size changes and local rotations of the brain image, and we can use them as one CNN channel with other three modalities (T1-weighted, T1-IR and T2-FLAIR) to get more accurate results of brain segmentation.

BRAIN IMAGE SEGMENTATION BRAIN SEGMENTATION SEMANTIC SEGMENTATION

NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines

11 Jun 2018

NeuroNet is a deep convolutional neural network mimicking multiple popular and state-of-the-art brain segmentation tools including FSL, SPM, and MALPEM.

BRAIN IMAGE SEGMENTATION BRAIN SEGMENTATION SEMANTIC SEGMENTATION

Towards integrating spatial localization in convolutional neural networks for brain image segmentation

12 Apr 2018

In this work, we propose different ways to introduce spatial constraints into the network to further reduce prediction inconsistencies.

BRAIN IMAGE SEGMENTATION SEMANTIC SEGMENTATION

Combination of Hidden Markov Random Field and Conjugate Gradient for Brain Image Segmentation

13 May 2017

Hidden Markov Random Field model is one of several techniques used in image segmentation.

BRAIN IMAGE SEGMENTATION SEMANTIC SEGMENTATION

Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation

NeurIPS 2015

In contrast, Multi-Dimensional Recurrent NNs (MD-RNNs) can perceive the entire spatio-temporal context of each pixel in a few sweeps through all pixels, especially when the RNN is a Long Short-Term Memory (LSTM).

BRAIN IMAGE SEGMENTATION SEMANTIC SEGMENTATION

Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation

NeurIPS 2015

In contrast, Multi-Dimensional Recurrent NNs (MD-RNNs) can perceive the entire spatio-temporal context of each pixel in a few sweeps through all pixels, especially when the RNN is a Long Short-Term Memory (LSTM).

BRAIN IMAGE SEGMENTATION SEMANTIC SEGMENTATION