Browse > Medical > Medical Image Segmentation > Brain Tumor Segmentation

# Brain Tumor Segmentation Edit

15 papers with code · Medical

Brain tumor segmentation is the task of segmenting tumors from other brain artefacts in MRI image of the brain.

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# Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation

We propose a dual pathway, 11-layers deep, three-dimensional Convolutional Neural Network for the challenging task of brain lesion segmentation.

596

# Brain Tumor Segmentation with Deep Neural Networks

13 May 2015naldeborgh7575/brain_segmentation

Finally, we explore a cascade architecture in which the output of a basic CNN is treated as an additional source of information for a subsequent CNN.

204

# Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks

1 Sep 2017taigw/brats17

A cascade of fully convolutional neural networks is proposed to segment multi-modal Magnetic Resonance (MR) images with brain tumor into background and three hierarchical regions: whole tumor, tumor core and enhancing tumor core.

189

# Autofocus Layer for Semantic Segmentation

22 May 2018yaq007/Autofocus-Layer

We propose the autofocus convolutional layer for semantic segmentation with the objective of enhancing the capabilities of neural networks for multi-scale processing.

139

# Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm

9 Jun 2019mateuszbuda/brain-segmentation-pytorch

Based on automatic deep learning segmentations, we extracted three features which quantify two-dimensional and three-dimensional characteristics of the tumors.

121

# SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image Segmentation

6 Jun 2017iNLyze/DeepLearning-SeGAN-Segmentation

Extensive experimental results demonstrate the effectiveness of the proposed SegAN with multi-scale loss: on BRATS 2013 SegAN gives performance comparable to the state-of-the-art for whole tumor and tumor core segmentation while achieves better precision and sensitivity for Gd-enhance tumor core segmentation; on BRATS 2015 SegAN achieves better performance than the state-of-the-art in both dice score and precision.

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# Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge

28 Feb 2018pykao/Modified-3D-UNet-Pytorch

Quantitative analysis of brain tumors is critical for clinical decision making.

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# 3D MRI brain tumor segmentation using autoencoder regularization

Automated segmentation of brain tumors from 3D magnetic resonance images (MRIs) is necessary for the diagnosis, monitoring, and treatment planning of the disease.

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# DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

3 Jul 2017taigw/geodesic_distance

We propose a deep learning-based interactive segmentation method to improve the results obtained by an automatic CNN and to reduce user interactions during refinement for higher accuracy.

25

# 3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI

6 Apr 2019China-LiuXiaopeng/BraTS-DMFNet

In this work, we aim to segment brain MRI volumes.

8