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
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HistoArtifacts
Most implemented papers
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis
However, designing a unified BA method that can be applied to various MIA systems is challenging due to the diversity of imaging modalities (e. g., X-Ray, CT, and MRI) and analysis tasks (e. g., classification, detection, and segmentation).
Tiny-PPG: A Lightweight Deep Neural Network for Real-Time Detection of Motion Artifacts in Photoplethysmogram Signals on Edge Devices
Therefore, this study provides an effective solution for resource-constraint IoT smart health devices in PPG artifact detection.
Reference-based Restoration of Digitized Analog Videotapes
miccunifi/tape
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We design a transformer-based Swin-UNet network that exploits both neighboring and reference frames via our Multi-Reference Spatial Feature Fusion (MRSFF) blocks.
Unsupervised Motion Artifact Detection in Wrist-Measured Electrodermal Activity Data
In this paper, we demonstrate that unsupervised learning algorithms perform competitively with supervised algorithms for detecting MAs on EDA data collected in both a lab-based setting and a real-world setting comprising about 23 hours of data.
Intracerebral EEG Artifact Identification Using Convolutional Neural Networks
We show that the proposed technique can be used as a generalized model for iEEG artifact detection.
Automating Artifact Detection in Video Games
AMD-RIPS/ST-2019
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Based on a sample of representative screen corruption examples, the model was able to identify 10 of the most commonly occurring screen artifacts with reasonable accuracy.
Automatic Flare Spot Artifact Detection and Removal in Photographs
Flare spot is one type of flare artifact caused by a number of conditions, frequently provoked by one or more high-luminance sources within or close to the camera field of view.
A Practical Guide to Logical Access Voice Presentation Attack Detection
nii-yamagishilab/project-NN-Pytorch-scripts
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Presentation attack detection (PAD) for ASV, or speech anti-spoofing, is therefore indispensable.
Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images
NeelKanwal/Quantifying-the-effect-of-color-processing-on-blood-and-damaged-tissue-detection
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2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP) 2022
Since blood and damaged tissue have subtle color differences, we assess the impact of color processing methods on the binary classification performance of five well-known architectures.
Vision Transformers for Small Histological Datasets Learned through Knowledge Distillation
Computational Pathology (CPATH) systems have the potential to automate diagnostic tasks.
