Optimizing Failure Mode Analysis of Dental Restorative Materials: Balancing Efficiency and Accuracy
文献类型： 会议论文
第一作者： Bérangère Cournault
作者： Bérangère Cournault 1 ; Luc Vedrenne 2 ; Teyagirwa Prudence Felix 1 ; Erkel Arnaud 1 ; Hattenberger Grégoire 1 ; Jmal Hamdi 2 ; Kharouf Naji 1 ; Etienne Olivier 1 ;
作者机构： 1.Biomaterials-Bioengineering, Inserm UMR 1121, University of Strasbourg, France
2.ICube, UMR 7357 CNRS, University of Strasbourg, France
关键词： Scanning electron microscopy;Optical microscopy;Biomedical optical imaging;Microscopy;Optical computing;Observers;Optical imaging
会议名称： IEEE International Symposium on Biomedical Imaging
主办单位：
页码： 1-5
摘要： To quantify the adhesion of ceramics to dental hard tissues, macroscopic shear bond strength (SBS) tests are commonly used. A failure mode analysis is then performed to determine the location of the failure and its correlation with the corresponding SBS values. Most analyses in the literature use an optical microscope. In this work, we introduce a new approach to perform objective and efficient failure mode analysis using a weakly supervised deep neural network. Our experimental results demonstrate that this approach significantly outperforms human analysis.
分类号： tp391.4
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