Small Structures, Год журнала: 2024, Номер unknown

Опубликована: Дек. 25, 2024

Dental enamel, the outermost tissue of mammalian teeth, must withstand a lifetime wear and cyclic contact. To meet this demand, enamel possesses combination high hardness resistance to fracture, properties that are typically mutually exclusive. The impressive damage tolerance has been attributed largely decussation rods, principal unit its microstructure. As such, is inspiring design next‐generation structural materials. However, quantitative descriptions decussated rod microstructure remain limited due challenges encountered in applying computed tomography acquiring quality images appropriate for traditional digital processing methods. Here, machine learning segmentation method applied obtained using scanning electron microscopy support analysis A pretrained convolutional neural network used expand input training image dataset allow random forest classifier, which ultimately segments with very small set ( n = 3 images). validation presented, addition application calculate relevant microstructural parameters tooth from selected species. methodology here equally applicable other hard tissues.

Язык: Английский