Brain Segmentation

34 papers with code • 1 benchmarks • 2 datasets

Greatest papers with code

Unsupervised Deep Learning for Bayesian Brain MRI Segmentation

voxelmorph/voxelmorph 25 Apr 2019

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 +3

HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation

black0017/MedicalZooPytorch 9 Apr 2018

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 +3

3D Densely Convolutional Networks for VolumetricSegmentation

black0017/MedicalZooPytorch arXiv preprint 2017

The proposed network architecture provides a dense connection between layers that aims to improve the information flow in the network.

3D Medical Imaging Segmentation Brain Segmentation +3

Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

arnab39/FewShot_GAN-Unet3D 29 Oct 2018

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 +3

A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis

freesurfer/freesurfer 12 Aug 2020

In this paper we propose a novel method for the segmentation of longitudinal brain MRI scans of patients suffering from Multiple Sclerosis.

3D Medical Imaging Segmentation Brain Image Segmentation +3

A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis

freesurfer/freesurfer 11 May 2020

Here we present a method for the simultaneous segmentation of white matter lesions and normal-appearing neuroanatomical structures from multi-contrast brain MRI scans of multiple sclerosis patients.

3D Medical Imaging Segmentation Brain Image Segmentation +3

Recalibrating 3D ConvNets with Project & Excite

ai-med/squeeze_and_excitation 25 Feb 2020

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

Brain Segmentation

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

abhi4ssj/squeeze_and_excitation 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

Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks

ai-med/squeeze_and_excitation 7 Mar 2018

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 +1