Cooperative GAN: Automated tympanic membrane anomaly detection using a Cooperative Observation Network.
Journal:
Computer methods and programs in biomedicine
PMID:
40023961
Abstract
BACKGROUND AND OBJECTIVES: Recently, artificial intelligence (AI) has been applied to otolaryngology. However, existing supervised learning methods cannot easily predict data outside the learning domain. Moreover, collecting diverse medical data has become demanding owing to privacy concerns. Consequently, these limitations hinder the applications of AI in clinical settings. To address these issues, this study proposes a Cooperative Observation Network (CON), using an unsupervised anomaly detection approach. Anomaly detection is the process of identifying data patterns that deviate from the majority.