Quantifying Facial Rejuvenation after Deep Plane Facelift Using Convolutional Neural Network-Based Age Estimation: Correlation with Patient-Reported Outcomes on the FACE-Q Aesthetic Module.
Aesthetic plastic surgery · 2026
Abstract e pubblicazione originale
L’abstract è consultabile nella fonte originale. Non viene ripubblicato qui perché non risulta verificata una licenza compatibile.
Leggi nella fonte originale ↗Parole chiave
Age estimationArtificial intelligenceConvolutional neural networkDeep plane faceliftFACE-QFacial rejuvenationPatient-reported outcomesPatient-reported OutcomesFacial RejuvenationConvolutional Neural NetworkFace-qDeep Plane Facelift
Come citare questo studio
Karaali S, Alten A, Tatar BE. (2026). Quantifying Facial Rejuvenation after Deep Plane Facelift Using Convolutional Neural Network-Based Age Estimation: Correlation with Patient-Reported Outcomes on the FACE-Q Aesthetic Module.. Aesthetic plastic surgery. DOI: 10.1007/s00266-026-06374-1
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