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Brain Segmentation

15 papers with code ยท Medical

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AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation

5 Jun 2019

Whole brain segmentation using deep learning (DL) is a very challenging task since the number of anatomical labels is very high compared to the number of available training images.

BRAIN SEGMENTATION DECISION MAKING

BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning

16 May 2019

A disadvantage of FL is the dependence on a central server, which requires all clients to agree on one trusted central body, and whose failure would disrupt the training process of all clients.

BRAIN SEGMENTATION

Fast Infant MRI Skullstripping with Multiview 2D Convolutional Neural Networks

27 Apr 2019

The three probabilistic segmentations in the three views are linearly fused and thresholded to produce a final brain mask.

BRAIN SEGMENTATION

3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation

5 Apr 2019

Model architectures have been dramatically increasing in size, improving performance at the cost of resource requirements.

BRAIN SEGMENTATION MODEL COMPRESSION QUANTIZATION

Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks

4 Apr 2019

In applications of supervised learning applied to medical image segmentation, the need for large amounts of labeled data typically goes unquestioned.

BRAIN SEGMENTATION DATA AUGMENTATION SEMANTIC SEGMENTATION

CUSUM Filter for Brain Segmentation on DSC Perfusion MR Head Scans with Abnormal Brain Anatomy

26 Mar 2019

The results showed that proposed approach is suitable to be used for brain ROI detection from DSC perfusion MR images of a human head with abnormal brain anatomy and can, therefore, be applied in the DSC perfusion data analysis.

BRAIN SEGMENTATION SEMANTIC SEGMENTATION

The Generation and Application of Medical Image Grid Based on Differential Geometric Features

30 Jan 2019

Accurate segmentation of brain tissue in magnetic resonance images (MRI) is a difficult task due to different types of brain abnormalities.

BRAIN SEGMENTATION

PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation

17 Jan 2019

In this paper we propose a CNN-based segmentation algorithm that, in addition to being highly accurate and fast, is also resilient to variation in the input acquisition.

BRAIN SEGMENTATION

Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols

7 Jan 2019

Recently, we obtained a clinically acquired, multi-sequence MRI brain cohort with 1480 clinically acquired, de-identified brain MRI scans on 395 patients using seven different MRI protocols.

BRAIN SEGMENTATION

Brain segmentation based on multi-atlas guided 3D fully convolutional network ensembles

5 Jan 2019

To address this limitation, we trained a 3D FCN model for each ROI using patches of adaptive size and embedded outputs of the convolutional layers in the deconvolutional layers to further capture the local and global context patterns.

BRAIN SEGMENTATION