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Brain Segmentation

17 papers with code ยท Medical

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Generalizing Deep Whole Brain Segmentation for Pediatric and Post-Contrast MRI with Augmented Transfer Learning

13 Aug 2019

Generalizability is an important problem in deep neural networks, especially in the context of the variability of data acquisition in clinical magnetic resonance imaging (MRI).

BRAIN SEGMENTATION DATA AUGMENTATION TRANSFER LEARNING

Automatic Intracranial Brain Segmentation from Computed Tomography Head Images

21 Jun 2019

Fast and automatic algorithm to segment Brain (intracranial region) from computed tomography (CT) head images using combination of HU thresholding, identification of intracranial voxels through ray intersection with cranium, special binary erosion and connected components per slice.

BRAIN SEGMENTATION

`Project & Excite' Modules for Segmentation of Volumetric Medical Scans

11 Jun 2019

Fully Convolutional Neural Networks (F-CNNs) achieve state-of-the-art performance for image segmentation in medical imaging.

BRAIN SEGMENTATION SEMANTIC SEGMENTATION

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