Dental Crowding Categorization Network (DCC-Net): Explainable deep learning system for automatic categorization of dental crowding on intraoral photographs

Puntos clave

• To develop an explainable deep learning system for the automatic categorization of dental crowding.
• Utilized a deep learning network (DCC-Net) for image classification.
• Analyzed intraoral photographs to identify various categories of dental crowding.
• Evaluated the prediction accuracy and speed of the model.
• Achieved high accuracy in categorizing dental crowding.
• Provided rapid predictions that can assist in orthodontic decision-making.
• Enhanced communication between orthodontists and patients with readily available reference data.