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Artifact Detection
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Detection of Histological Artifacts in Whole Slide Images
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Quantitative Benchmarking of Anomaly Detection Methods in Digital Pathology
EditInspector: A Benchmark for Evaluation of Text-Guided Image Edits
Artifact detection and localization in single-channel mobile EEG for sleep research using deep learning and attention mechanisms
LEGION: Learning to Ground and Explain for Synthetic Image Detection
Attenuation artifact detection and severity classification in intracoronary OCT using mixed image representations
EEG Artifact Detection and Correction with Deep Autoencoders
Towards Fingerprint Mosaicking Artifact Detection: A Self-Supervised Deep Learning Approach
Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images
Puzzle Similarity: A Perceptually-guided Cross-Reference Metric for Artifact Detection in 3D Scene Reconstructions
Detecting Human Artifacts from Text-to-Image Models
How Much Data is Enough? Optimization of Data Collection for Artifact Detection in EEG Recordings
Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training
Unsupervised dMRI Artifact Detection via Angular Resolution Enhancement and Cycle Consistency Learning
Improving Quality Control of Whole Slide Images by Explicit Artifact Augmentation
Transformer Meets Gated Residual Networks To Enhance Photoplethysmogram Artifact Detection Informed by Mutual Information Neural Estimation
PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds
Cepstral Analysis Based Artifact Detection, Recognition and Removal for Prefrontal EEG
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs
A Novel Transformer-Based Self-Supervised Learning Method to Enhance Photoplethysmogram Signal Artifact Detection
Tissue Artifact Segmentation and Severity Analysis for Automated Diagnosis Using Whole Slide Images
Image-based Data Representations of Time Series: A Comparative Analysis in EEG Artifact Detection
VAE-IF: Deep feature extraction with averaging for fully unsupervised artifact detection in routinely acquired ICU time-series
Reference-based Restoration of Digitized Analog Videotapes
Label Propagation Techniques for Artifact Detection in Imbalanced Classes using Photoplethysmogram Signals
GRN-Transformer: Enhancing Motion Artifact Detection in PICU Photoplethysmogram Signals
Automated Artifact Detection in Ultra-widefield Fundus Photography of Patients with Sickle Cell Disease
Sparse learned kernels for interpretable and efficient medical time series processing
Vision Transformers for Small Histological Datasets Learned through Knowledge Distillation
Tiny-PPG: A Lightweight Deep Neural Network for Real-Time Detection of Motion Artifacts in Photoplethysmogram Signals on Edge Devices
Saliency-Aware Spatio-Temporal Artifact Detection for Compressed Video Quality Assessment
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces
Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images
Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG
Evaluating object detector ensembles for improving the robustness of artifact detection in endoscopic video streams
Energy-Efficient Tree-Based EEG Artifact Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.