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MRI segmentation
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Proportional Sensitivity in Generative Adversarial Network (GAN)-Augmented Brain Tumor Classification Using Convolutional Neural Network
Transfer Learning and Explainable AI for Brain Tumor Classification: A Study Using MRI Data from Bangladesh
SAMba-UNet: Synergizing SAM2 and Mamba in UNet with Heterogeneous Aggregation for Cardiac MRI Segmentation
Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities
Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation
Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge
MediAug: Exploring Visual Augmentation in Medical Imaging
Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance
Towards contrast- and pathology-agnostic clinical fetal brain MRI segmentation using SynthSeg
Here Comes the Explanation: A Shapley Perspective on Multi-contrast Medical Image Segmentation
Fibonacci-Net: A Lightweight CNN model for Automatic Brain Tumor Classification
Dynamically evolving segment anything model with continuous learning for medical image segmentation
Task-oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor Segmentation
Deep Learning-Based Approach for Automatic 2D and 3D MRI Segmentation of Gliomas
SAMRI-2: A Memory-based Model for Cartilage and Meniscus Segmentation in 3D MRIs of the Knee Joint
Efficient Brain Tumor Classification with Lightweight CNN Architecture: A Novel Approach
Pathological MRI Segmentation by Synthetic Pathological Data Generation in Fetuses and Neonates
Full-Head Segmentation of MRI with Abnormal Brain Anatomy: Model and Data Release
Transfer Learning Strategies for Pathological Foundation Models: A Systematic Evaluation in Brain Tumor Classification
No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-k Patch Sampling
Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation
Enhancing Transfer Learning for Medical Image Classification with SMOTE: A Comparative Study
VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI Segmentation
QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality Prediction
SKIPNet: Spatial Attention Skip Connections for Enhanced Brain Tumor Classification
MRGen: Diffusion-based Controllable Data Engine for MRI Segmentation towards Unannotated Modalities
An Ensemble Approach for Brain Tumor Segmentation and Synthesis
Comparative Analysis of Resource-Efficient CNN Architectures for Brain Tumor Classification
Machine-agnostic Automated Lumbar MRI Segmentation using a Cascaded Model Based on Generative Neurons
Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification
Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion
Enhancing Brain Tumor Classification Using TrAdaBoost and Multi-Classifier Deep Learning Approaches
Towards Population Scale Testis Volume Segmentation in DIXON MRI
Revisiting MAE pre-training for 3D medical image segmentation
Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation
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