Artifact Detection
13 papers with code • 1 benchmarks • 1 datasets
Detection of Histological Artifacts in Whole Slide Images
Benchmarks
These leaderboards are used to track progress in Artifact Detection
| Trend | Dataset | Best Model | Paper | Code | Compare |
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HistoArtifacts
Most implemented papers
Learned Kernels for Sparse, Interpretable, and Efficient Medical Time Series Processing
sullychen/smolk
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Results: Our interpretable method achieves greater than 99% of the performance of the state-of-the-art methods on the PPG artifact detection task, and even outperforms the state-of-the-art on a challenging out-of-distribution test set, while using dramatically fewer parameters (2% of the parameters of Segade, and about half of the parameters of Tiny-PPG).
Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images
NeelKanwal/Vision-Transformers-for-Small-Histological-Datasets-Learned-Through-Knowledge-Distillation
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Computerized Medical Imaging and Graphics 2023
We achieved 0. 996 and 0. 938 F1 scores for blur and folded tissue detection on unseen data, respectively.
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs
neelkanwal/equipping-computational-pathology-systems-with-artifact-processing-pipeline
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We developed DL pipelines using two MoEs and two multiclass models of state-of-the-art deep convolutional neural networks (DCNNs) and vision transformers (ViTs).
