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Brain Tumor Segmentation

26 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 )

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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

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 and Tractographic Feature Extraction from Structural MR Images for Overall Survival Prediction

20 Jul 2018pykao/BraTS2018-tumor-segmentation

For segmentation, we utilize an existing brain parcellation atlas in the MNI152 1mm space and map this parcellation to each individual subject data.

BRAIN TUMOR SEGMENTATION

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

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

3D U-Net Based Brain Tumor Segmentation and Survival Days Prediction

15 Sep 2019woodywff/brats_2019

Dice coefficients for enhancing tumor, tumor core, and the whole tumor are 0. 737, 0. 807 and 0. 894 respectively on the validation dataset.

BRAIN TUMOR 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

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

Glioma Segmentation with Cascaded Unet

9 Oct 2018lachinov/brats2018-graphlabunn

MRI analysis takes central position in brain tumor diagnosis and treatment, thus it's precise evaluation is crucially important.

BRAIN TUMOR SEGMENTATION OBJECT DETECTION

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