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Tumor Segmentation

Tumor Segmentation is the task of identifying the spatial location of a tumor. It is a pixel-level prediction where each pixel is classified as a tumor or background. The most popular benchmark for this task is the BraTS dataset. The models are typically evaluated with the Dice Score metric.

Papers

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Showing 751–786 of 786 papers

TitleStatusHype
Multi-Scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology DatasetCode0
Selective Information Passing for MR/CT Image SegmentationCode0
3D-TransUNet for Brain Metastases Segmentation in the BraTS2023 ChallengeCode0
Multi-step Cascaded Networks for Brain Tumor SegmentationCode0
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?Code0
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative NormalizationCode0
Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation From Multimodal Unpaired ImagesCode0
Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal EmbeddingCode0
Volumetric medical image segmentation through dual self-distillation in U-shaped networksCode0
Negligible effect of brain MRI data preprocessing for tumor segmentationCode0
DSFNet: Dual-GCN and Location-fused Self-attention with Weighted Fast Normalized Fusion for Polyps SegmentationCode0
Domain Knowledge Based Brain Tumor Segmentation and Overall Survival PredictionCode0
Neural Gas Network Image Features and Segmentation for Brain Tumor Detection Using Magnetic Resonance Imaging DataCode0
Arbitrary Scale Super-Resolution for Brain MRI ImagesCode0
Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image SegmentationCode0
A Novel Confidence Induced Class Activation Mapping for MRI Brain Tumor SegmentationCode0
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image SegmentationCode0
Decoupling Feature Representations of Ego and Other Modalities for Incomplete Multi-modal Brain Tumor SegmentationCode0
Cross-modal tumor segmentation using generative blending augmentation and self trainingCode0
3D MRI brain tumor segmentation using autoencoder regularizationCode0
On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural NetworksCode0
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor SegmentationCode0
Optimized U-Net for Brain Tumor SegmentationCode0
Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain AdaptationCode0
Optimizing Medical Image Segmentation with Advanced Decoder DesignCode0
A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor SegmentationCode0
Optimizing Synthetic Data for Enhanced Pancreatic Tumor SegmentationCode0
A4-Unet: Deformable Multi-Scale Attention Network for Brain Tumor SegmentationCode0
Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided RadiotherapyCode0
Semi-Supervised Variational Autoencoder for Survival PredictionCode0
An Optimization Framework for Processing and Transfer Learning for the Brain Tumor SegmentationCode0
Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma DatasetCode0
Distributionally Robust Deep Learning using Hardness Weighted SamplingCode0
Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative StudyCode0
Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial NetworksCode0
The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical OutcomesCode0
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