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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 151–175 of 436 papers

TitleStatusHype
A Data Augmentation Method for Fully Automatic Brain Tumor Segmentation—0
Exploring SAM Ablations for Enhancing Medical Segmentation in Radiology and Pathology—0
Does anatomical contextual information improve 3D U-Net based brain tumor segmentation?—0
End-to-End Boundary Aware Networks for Medical Image Segmentation—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
Experimenting with Knowledge Distillation techniques for performing Brain Tumor Segmentation—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
3D Brainformer: 3D Fusion Transformer for Brain Tumor 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
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans—0
Anatomical Consistency Distillation and Inconsistency Synthesis for Brain Tumor Segmentation with Missing Modalities—0
Ensemble Learning with Residual Transformer for Brain Tumor Segmentation—0
Towards annotation-efficient segmentation via image-to-image translation—0
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities—0
Few-Shot Generation of Brain Tumors for Secure and Fair Data Sharing—0
Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation—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
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