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April 19, 2024Laryngo-Rhino-Otologie

Validation and correlation with clinical data of a newly developed computer aided diagnostic system for the classification of paranasal anomalies in the maxillary sinus from MRI images

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BBBenjamin BeckerDBDebayan BhattacharyaCBChristian Betz

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Becker et al. (2024) studied this question.

synapsesocial.com/papers/68e6e76cb6db643587663050https://doi.org/10.1055/s-0044-1784518
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Computer‐Aided Diagnosis of Maxillary Sinus Anomalies: Validation and Clinical Correlation2024
  2. 2Enhanced diagnostic pipeline for maxillary sinus-maxillary molars relationships: a novel implementation of Detectron2 with faster R-CNN R50 FPN 3x on CBCT images2025
  3. 3Machine learning framework for simulation of artifacts in paranasal sinuses diagnosis using CT images2024
  4. 4Classification of maxillary sinus states according to digital diaphanoscopy with the use of machine learning2026 · 1 citations
  5. 5Artificial intelligence in diagnosis of maxillary sinusitis: A clinical study2025