Browse > Medical > Medical Image Segmentation > Brain Tumor Segmentation

Brain Tumor Segmentation

25 papers with code · Medical

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 )

Leaderboards

Latest papers with code

Knowledge Distillation for Brain Tumor Segmentation

10 Feb 2020lachinov/brats2019

The segmentation of brain tumors in multimodal MRIs is one of the most challenging tasks in medical image analysis.

BRAIN TUMOR SEGMENTATION

3
10 Feb 2020

Transfer Learning for Brain Tumor Segmentation

28 Dec 2019joneswack/brats-pretraining

We also show that the impact of pretraining is even higher for predictions on the clinical data.

BRAIN TUMOR SEGMENTATION TRANSFER LEARNING

1
28 Dec 2019

Domain Knowledge Based Brain Tumor Segmentation and Overall Survival Prediction

16 Dec 2019Guo-Xiaoqing/BraTS_OS

Automatically segmenting sub-regions of gliomas (necrosis, edema and enhancing tumor) and accurately predicting overall survival (OS) time from multimodal MRI sequences have important clinical significance in diagnosis, prognosis and treatment of gliomas.

BRAIN TUMOR SEGMENTATION

3
16 Dec 2019

Semi-Supervised Variational Autoencoder for Survival Prediction

10 Oct 2019sveinnpalsson/semivaebrats

In this paper we propose a semi-supervised variational autoencoder for classification of overall survival groups from tumor segmentation masks.

BRAIN TUMOR SEGMENTATION

1
10 Oct 2019

Brain-wise Tumor Segmentation and Patient Overall Survival Prediction

15 Sep 2019woodywff/brats_2019

In this paper, a 3D U-net based deep learning model has been trained with the help of brain-wise normalization and patching strategies for the brain tumor segmentation task in BraTS 2019 competition.

BRAIN TUMOR SEGMENTATION

7
15 Sep 2019

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis

3 Sep 2019koriavinash1/BioExp

In this paper, we explore various techniques to explain the functional organization of brain tumor segmentation models and to extract visualizations of internal concepts to understand how these networks achieve highly accurate tumor segmentations.

BRAIN TUMOR SEGMENTATION MEDICAL DIAGNOSIS

0
03 Sep 2019

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

19 Aug 2019MrGiovanni/ModelsGenesis

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 LUNG NODULE DETECTION LUNG NODULE SEGMENTATION PULMONARY EMBOLISM DETECTION TRANSFER LEARNING

198
19 Aug 2019

Multi-step Cascaded Networks for Brain Tumor Segmentation

16 Aug 2019JohnleeHIT/Brats2019

Automatic brain tumor segmentation method plays an extremely important role in the whole process of brain tumor diagnosis and treatment.

BRAIN TUMOR SEGMENTATION DATA AUGMENTATION

29
16 Aug 2019

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.

3D MEDICAL IMAGING SEGMENTATION BRAIN SEGMENTATION BRAIN TUMOR SEGMENTATION

187
09 Jun 2019

One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation

5 Jun 2019chenhong-zhou/OM-Net

The model cascade (MC) strategy significantly alleviates the class imbalance issue via running a set of individual deep models for coarse-to-fine segmentation.

BRAIN TUMOR SEGMENTATION SEMANTIC SEGMENTATION

10
05 Jun 2019