HIGHLIGHTS
- who: Peng Huang and collaborators from the United States Chongqing University, China have published the research work: Anomaly detection in radiotherapy plans using deep autoencoder networks, in the Journal: (JOURNAL)
- what: The autoencoder outperformed the A This study evaluates the performance of autoencoders in determining abnormal data and comparatively investigates the performance differences between autoencoder networks and a variety of commonly used traditional anomaly detection algorithms.
- how: The results showed that the autoencoder achieved the best performance than the other four baseline algorithms. In this study the reconstruction loss distribution of all data . . .
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