Machine-Learning-Based Spectral Modeling: A Biomimetic Guide for Enhancing Esthetics.

 0 Người đánh giá. Xếp hạng trung bình 0

Tác giả: R Ghinea, L J Herrera, R D Paravina, M M Perez

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: England : Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.] , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 716130

OBJECTIVE: To provide guidelines and means for optimal coverage and distribution of computer models with 1-10 clusters, designed based on an in vivo extensive dental colorimetric database and compare the findings with some reputable shade guides. MATERIALS AND METHODS: The Fuzzy C-Means (FCM) algorithm was used to optimize the tab position in the CIELAB color space, while MATLAB Fuzzy Logic was used to implement the codes. A minimization process was performed to fine-tune the cluster centers, minimizing Coverage Error (CE RESULTS: CE CONCLUSIONS: Shade guide models with only 4 to 6 tabs, optimized using computational techniques, outperformed physical dental shade guides tested, exhibiting significantly lower (better) Coverage Error and Maximum Error. CLINICAL SIGNIFICANCE: Given that the spectral modeling was performed on an extensive in vivo database of natural teeth, this approach was validated as a biomimetic guide for shade guides and corresponding materials of the future, offering a possibility for better shade matching with fewer shades/shade tabs.
Tạo bộ sưu tập với mã QR

THƯ VIỆN - TRƯỜNG ĐẠI HỌC CÔNG NGHỆ TP.HCM

ĐT: (028) 36225755 | Email: tt.thuvien@hutech.edu.vn

Copyright @2024 THƯ VIỆN HUTECH