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Ischemic Stroke Lesion Segmentation
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
ISLES 2024: The first longitudinal multimodal multi-center real-world dataset in (sub-)acute stroke
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge
Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks
Automated ischemic stroke lesion segmentation from 3D MRI
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset
Class Balanced PixelNet for Neurological Image Segmentation
Ischemic Stroke Lesion Segmentation Using Adversarial Learning
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks
Automatic acute ischemic stroke lesion segmentation using semi-supervised learning
Predicting Clinical Outcome of Stroke Patients with Tractographic Feature
Exploiting bilateral symmetry in brain lesion segmentation
Generative Model-Based Ischemic Stroke Lesion Segmentation
CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model
Boundary loss for highly unbalanced segmentation
Ischemic Stroke Lesion Segmentation in CT Perfusion Scans using Pyramid Pooling and Focal Loss
Acute and sub-acute stroke lesion segmentation from multimodal MRI
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.