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Brain Tumor Segmentation

12 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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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.

BRAIN TUMOR SEGMENTATION

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.

BRAIN TUMOR SEGMENTATION

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.

BRAIN TUMOR SEGMENTATION SEMANTIC SEGMENTATION

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

18 Mar 2016yaq007/Autofocus-Layer

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

BRAIN TUMOR SEGMENTATION LESION SEGMENTATION

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.

BRAIN TUMOR SEGMENTATION SEMANTIC SEGMENTATION

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.

BRAIN TUMOR SEGMENTATION INTERACTIVE SEGMENTATION PLACENTA SEGMENTATION SEMANTIC SEGMENTATION

Brain Tumor Segmentation Based on Refined Fully Convolutional Neural Networks with A Hierarchical Dice Loss

25 Dec 2017milliondegree/semantic-segmentation-tensorflow

Since the proposal of fully convolutional neural network (FCNN), it has been widely used in semantic segmentation because of its high accuracy of pixel-wise classification as well as high precision of localization.

BRAIN TUMOR SEGMENTATION INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION

3D MRI brain tumor segmentation using autoencoder regularization

27 Oct 2018IAmSuyogJadhav/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.

BRAIN TUMOR SEGMENTATION SEMANTIC SEGMENTATION

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

5 Nov 2018christophbrgr/brats-orchestra

This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i. e., 2012-2018.

BRAIN TUMOR SEGMENTATION