Funder
National Natural Science Foundation of China
Natural Science Foundation of Hubei Province
Innovation and Technology Fund
Subject
Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Reference59 articles.
1. Ganomaly: Semi-supervised anomaly detection via adversarial training;Akcay,2018
2. One-class semi-supervised learning;Bauman,2018
3. Autoencoders for unsupervised anomaly segmentation in brain MR images: a comparative study;Baur;Med. Image Anal.,2021
4. Deep autoencoding models for unsupervised anomaly segmentation in brain MR images;Baur,2018
5. Beluch, W.H., Genewein, T., Nürnberger, A., Köhler, J.M., 2018. The power of ensembles for active learning in image classification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 9368–9377.
Cited by
4 articles.
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