Abstract: The use of unsupervised machine learning models for anomaly detection is a common thing nowadays. While many research papers focus on improving and testing these models, there is a lack of ...
Background: The rapid integration of artificial intelligence (AI) into mammography necessitates robust quality control methods. The lack of standardized methods for establishing decision thresholds on ...
Abstract: The most popular technique for converting two-class images into binary images is thresholding. However, thresholding methods tend to perform poorly when dealing with images affected by ...
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