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BraTS2021

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

UPMAD-Net: A Brain Tumor Segmentation Network with Uncertainty Guidance and Adaptive Multimodal Feature Fusion

A Self-supervised Multimodal Deep Learning Approach to Differentiate Post-radiotherapy Progression from Pseudoprogression in Glioblastoma

A Novel Hybrid Parameter-Efficient Fine-Tuning Approach for Hippocampus Segmentation and Alzheimer's Disease Diagnosis

Promptable Counterfactual Diffusion Model for Unified Brain Tumor Segmentation and Generation with MRIs

LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using Principal Tensor Singular Values and Vectors

Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI

GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for Volumetric Semantic Segmentation

AnoDODE: Anomaly Detection with Diffusion ODE

Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI

An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis

Efficient Subclass Segmentation in Medical Images

Multi-class Brain Tumor Segmentation using Graph Attention Network

BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation

Automatic Brain Tumor Segmentation with Scale Attention Network

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.