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20222024
most citedUnsupervised Anomaly Detection of Paranasal Anomalies in the Maxillary Sinus

2 citations · 2 across the 3 of their papers we have counts for

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eess.IV2024

Self-supervised learning for classifying paranasal anomalies in the maxillary sinus

Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker +9

Purpose: Paranasal anomalies, frequently identified in routine radiological screenings, exhibit diverse morphological characteristics. Due to the diversity of anomalies, supervised…