6   Artículos

 
en línea
Giulia Rubiu, Marco Bologna, Michaela Cellina, Maurizio Cè, Davide Sala, Roberto Pagani, Elisa Mattavelli, Deborah Fazzini, Simona Ibba, Sergio Papa and Marco Alì    
Convolutional Neural Network (CNN) models are capable of learning complex patterns and features from images. An automatic teeth segmentation CNN model can accurately and efficiently identify the boundaries and contours of individual teeth in dental radio... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Élisson da Silva Rocha and Patricia Takako Endo    
Introduction: Dental segmentation in panoramic radiograph has become very relevant in dentistry, since it allows health professionals to carry out their assessments more clearly and helps them to define the best possible treatment plan for their patients... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Sola Kim, JaeJoon Hwang, Bong-Hae Cho, Yujin Kim and Jae-Yeol Lee    
This study aimed to evaluate the bone volume change at donor sites in patients who received mandibular body bone block grafts using intensity-based automatic image registration. A retrospective study was conducted with 32 patients who received mandibular... ver más
Revista: Applied Sciences    Formato: Electrónico

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