no code implementations • 29 Mar 2023 • Hieu H. Pham, Khiem H. Le, Tuan V. Tran, Ha Q. Nguyen
The work discusses the use of machine learning algorithms for anomaly detection in medical image analysis and how the performance of these algorithms depends on the number of annotators and the quality of labels.
1 code implementation • 20 Mar 2022 • Khiem H. Le, Tuan V. Tran, Hieu H. Pham, Hieu T. Nguyen, Tung T. Le, Ha Q. Nguyen
As a result, the labeled data may contain a variety of human biases with a high rate of disagreement among annotators, which significantly affect the performance of supervised machine learning algorithms.