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MRI segmentation
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI
Leveraging CORAL-Correlation Consistency Network for Semi-Supervised Left Atrium MRI Segmentation
Segmentation of Pediatric Brain Tumors using a Radiologically informed, Deep Learning Cascade
REHRSeg: Unleashing the Power of Self-Supervised Super-Resolution for Resource-Efficient 3D MRI Segmentation
An Improved Approach for Cardiac MRI Segmentation based on 3D UNet Combined with Papillary Muscle Exclusion
Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base
Enhanced MRI brain tumor detection and classification via topological data analysis and low-rank tensor decomposition
Brain Tumor Classification on MRI in Light of Molecular Markers
Semi-Supervised Bone Marrow Lesion Detection from Knee MRI Segmentation Using Mask Inpainting Models
FedBrain-Distill: Communication-Efficient Federated Brain Tumor Classification Using Ensemble Knowledge Distillation on Non-IID Data
Pioneering Precision in Lumbar Spine MRI Segmentation with Advanced Deep Learning and Data Enhancement
Pediatric brain tumor classification using digital histopathology and deep learning: evaluation of SOTA methods on a multi-center Swedish cohort
Deep Learning in Medical Image Classification from MRI-based Brain Tumor Images
Distribution-Aware Replay for Continual MRI Segmentation
Dense Self-Supervised Learning for Medical Image Segmentation
Harmonizing Flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization
Enhanced Masked Image Modeling to Avoid Model Collapse on Multi-modal MRI Datasets
Brain Tumor Classification From MRI Images Using Machine Learning
Exploiting Scale-Variant Attention for Segmenting Small Medical Objects
An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation
Deep Fusion Model for Brain Tumor Classification Using Fine-Grained Gradient Preservation
Brain Tumor Classification using Vision Transformer with Selective Cross-Attention Mechanism and Feature Calibration
TotalVibeSegmentator: Full Body MRI Segmentation for the NAKO and UK Biobank
TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI
Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation
UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation
Enhancing Generalized Fetal Brain MRI Segmentation using A Cascade Network with Depth-wise Separable Convolution and Attention Mechanism
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning
Improve Cross-Modality Segmentation by Treating T1-Weighted MRI Images as Inverted CT Scans
A Flexible 2.5D Medical Image Segmentation Approach with In-Slice and Cross-Slice Attention
MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part Network for 3D Magnetic Resonance Imaging Brain Tumor Classification
How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks
A Probabilistic Hadamard U-Net for MRI Bias Field Correction
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.