Brain Tumor Segmentation

58 papers with code • 8 benchmarks • 5 datasets

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

( Image credit: Brain Tumor Segmentation with Deep Neural Networks )

Greatest papers with code

nnU-Net for Brain Tumor Segmentation

MIC-DKFZ/nnunet 2 Nov 2020

We apply nnU-Net to the segmentation task of the BraTS 2020 challenge.

Brain Tumor Segmentation Data Augmentation +1

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

Kamnitsask/deepmedic 18 Mar 2016

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

3D Medical Imaging Segmentation Brain Lesion Segmentation From Mri +2

3D MRI brain tumor segmentation using autoencoder regularization

black0017/MedicalZooPytorch 27 Oct 2018

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 Tumor Segmentation

Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis

MrGiovanni/ModelsGenesis 19 Aug 2019

More importantly, learning a model from scratch simply in 3D may not necessarily yield performance better than transfer learning from ImageNet in 2D, but our Models Genesis consistently top any 2D approaches including fine-tuning the models pre-trained from ImageNet as well as fine-tuning the 2D versions of our Models Genesis, confirming the importance of 3D anatomical information and significance of our Models Genesis for 3D medical imaging.

Brain Tumor Segmentation Liver Segmentation +5

Multi-scale self-guided attention for medical image segmentation

sinAshish/Multi-Scale-Attention arXiv preprint 2019

In this paper we attempt to overcome these limitations with the proposed architecture, by capturing richer contextual dependencies based on the use of guided self-attention mechanisms.

Attentive segmentation networks Brain Tumor Segmentation +1

Brain Tumor Segmentation with Deep Neural Networks

naldeborgh7575/brain_segmentation 13 May 2015

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 Tumor Segmentation

KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation

jeya-maria-jose/KiU-Net-pytorch 4 Oct 2020

To overcome this issue, we propose using an overcomplete convolutional architecture where we project our input image into a higher dimension such that we constrain the receptive field from increasing in the deep layers of the network.

3D Medical Imaging Segmentation Brain Tumor Segmentation +5

Autofocus Layer for Semantic Segmentation

yaq007/Autofocus-Layer 22 May 2018

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 Tumor Segmentation