Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
- 13 March 2023
- journal article
- research article
- Published by Elsevier in Medical Image Analysis
- Vol. 86, 102794
Abstract
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Funding Information
- National Natural Science Foundation of China (61703049, 61872417, 62061160490, 62176098)
- Natural Science Foundation of Hubei Province (2019CFA022)
- Innovation and Technology Fund (ITS/028/21FP)
This publication has 26 references indexed in Scilit:
- Attention Based Glaucoma Detection: A Large-Scale Database and CNN Model2019
- f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networksMedical Image Analysis, 2019
- The Power of Ensembles for Active Learning in Image Classification2018
- Real-World Anomaly Detection in Surveillance Videos2018
- Focal Loss for Dense Object Detection2017
- ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases2017
- Unsupervised Visual Representation Learning by Context Prediction2015
- Anomaly detectionACM Computing Surveys, 2009
- Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews]IEEE Transactions on Neural Networks, 2009
- Support Vector Data DescriptionMachine Learning, 2004