Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
A Deep Learning–Based Ensemble Model for Automated Nasolabial-Fold Severity Grading
1
Zitationen
5
Autoren
2025
Jahr
Abstract
DeepFold provides a reliable and standardized approach to NLF severity assessment, offering potential clinical value in aesthetic evaluation, treatment planning, and outcome monitoring.
Ähnliche Arbeiten
The long-term efficacy of currently used dental implants: a review and proposed criteria of success.
1986 · 3.692 Zit.
The Gingival Index, the Plaque Index and the Retention Index Systems
1967 · 3.641 Zit.
The burden of oral disease: challenges to improving oral health in the 21st century.
2005 · 3.579 Zit.
Periodontitis: Consensus report of workgroup 2 of the 2017 World Workshop on the Classification of Periodontal and Peri‐Implant Diseases and Conditions
2018 · 3.063 Zit.
Osseointegrated Titanium Implants:<i>Requirements for Ensuring a Long-Lasting, Direct Bone-to-Implant Anchorage in Man</i>
1981 · 2.646 Zit.