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Brain Tumor Segmentation

Brain Tumor Segmentation is a medical image analysis task that involves the separation of brain tumors from normal brain tissue in magnetic resonance imaging (MRI) scans. The goal of brain tumor segmentation is to produce a binary or multi-class segmentation map that accurately reflects the location and extent of the tumor.

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

Papers

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Showing 151–200 of 436 papers

TitleStatusHype
Brain Tumor Detection Based On Mathematical Analysis and Symmetry Information—0
An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation—0
Brain Tumor Classification by Cascaded Multiscale Multitask Learning Framework Based on Feature Aggregation—0
A Data Augmentation Method for Fully Automatic Brain Tumor Segmentation—0
Here Comes the Explanation: A Shapley Perspective on Multi-contrast Medical Image Segmentation—0
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation—0
Impact of Spherical Coordinates Transformation Pre-processing in Deep Convolution Neural Networks for Brain Tumor Segmentation and Survival Prediction—0
Generating 3D Brain Tumor Regions in MRI using Vector-Quantization Generative Adversarial Networks—0
End-to-End Boundary Aware Networks for Medical Image Segmentation—0
Glioblastoma Multiforme Patient Survival Prediction—0
An Ensemble Approach for Brain Tumor Segmentation and Synthesis—0
Disentangled Multimodal Brain MR Image Translation via Transformer-based Modality Infuser—0
Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation—0
Global Planar Convolutions for improved context aggregation in Brain Tumor Segmentation—0
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans—0
Belief function-based semi-supervised learning for brain tumor segmentation—0
Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation—0
An End-to-End learnable Flow Regularized Model for Brain Tumor Segmentation—0
Towards annotation-efficient segmentation via image-to-image translation—0
3D Brainformer: 3D Fusion Transformer for Brain Tumor Segmentation—0
Does anatomical contextual information improve 3D U-Net based brain tumor segmentation?—0
Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation—0
Detection of Under-represented Samples Using Dynamic Batch Training for Brain Tumor Segmentation from MR Images—0
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems—0
Deep Recurrent Level Set for Segmenting Brain Tumors—0
Brain MRI study for glioma segmentation using convolutional neural networks and original post-processing techniques with low computational demand—0
Anatomical Consistency Distillation and Inconsistency Synthesis for Brain Tumor Segmentation with Missing Modalities—0
H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task—0
Improving 3D U-Net for Brain Tumor Segmentation by Utilizing Lesion Prior—0
Efficient Brain Tumor Segmentation Using a Dual-Decoder 3D U-Net with Attention Gates (DDUNet)—0
Efficient embedding network for 3D brain tumor segmentation—0
Brain Tumor Detection Based On Symmetry Information—0
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation—0
Empirical Evaluation of the Segment Anything Model (SAM) for Brain Tumor Segmentation—0
End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks—0
Deep Learning with Mixed Supervision for Brain Tumor Segmentation—0
Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation—0
A Volumetric Convolutional Neural Network for Brain Tumor Segmentation—0
Brain Tumor Segmentation and Survival Prediction—0
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation—0
Analyzing Deep Learning Based Brain Tumor Segmentation with Missing MRI Modalities—0
Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network—0
Focus, Segment and Erase: An Efficient Network for Multi-Label Brain Tumor Segmentation—0
Deep Learning-Based Brain Image Segmentation for Automated Tumour Detection—0
A Novel SLCA-UNet Architecture for Automatic MRI Brain Tumor Segmentation—0
Experimenting with Knowledge Distillation techniques for performing Brain Tumor Segmentation—0
A Novel Method for Automatic Segmentation of Brain Tumors in MRI Images—0
Exploring SAM Ablations for Enhancing Medical Segmentation in Radiology and Pathology—0
Analysis of the MICCAI Brain Tumor Segmentation -- Metastases (BraTS-METS) 2025 Lighthouse Challenge: Brain Metastasis Segmentation on Pre- and Post-treatment MRI—0
3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint—0
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