Artifact Detection
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Detection of Histological Artifacts in Whole Slide Images
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/IdeasLabUT/EDA-Artifact-Detection
공식 코드Unsupervised Motion Artifact Detection in Wrist-Measured Electrodermal Activity Data
https://github.com/NeelKanwal/Vision-Transformers-for-Small-Histological-Datasets-Learned-Through-Knowledge-Distillation
공식 코드Vision Transformers for Small Histological Datasets Learned through Knowledge Distillation
https://github.com/abhijeetptl5/historoi
공식 코드Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training
https://github.com/hazardfy/fiba
공식 코드FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis
https://github.com/heyonghu/tiny-ppg
공식 코드https://github.com/jarartur/histopathologyaugmentationresearch
공식 코드Improving Quality Control of Whole Slide Images by Explicit Artifact Augmentation
https://github.com/miccunifi/tape
공식 코드https://github.com/neelkanwal/equipping-computational-pathology-systems-with-artifact-processing-pipeline
공식 코드https://github.com/nii-yamagishilab/project-NN-Pytorch-scripts
공식 코드A Practical Guide to Logical Access Voice Presentation Attack Detection
https://github.com/pvitoria/SpotFlareDetection
공식 코드Automatic Flare Spot Artifact Detection and Removal in Photographs
https://github.com/sullychen/smolk
공식 코드Sparse learned kernels for interpretable and efficient medical time series processing
https://github.com/sztu-wearable/tiny-ppg
공식 코드https://github.com/wangkaihong/hadm
공식 코드https://github.com/yuandou168/price
공식 코드https://github.com/NeelKanwal/Quantifying-the-effect-of-color-processing-on-blood-and-damaged-tissue-detection
https://github.com/aryan-satpathy/backdoor
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis
https://github.com/miccunifi/analog-video-restoration
https://github.com/xandery-geek/BackdoorAttacks
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.