Analysis of surgical outcome after upper eyelid surgery by computer vision algorithm using face and facial landmark detection

Purpose To evaluate the postoperative changes with a computer vision algorithm for anterior full-face photographs of patients who have undergone upper eyelid blepharoplasty surgery with, or without, a Müller’s muscle-conjunctival resection (MMCR). Methods All patients who underwent upper eyelid blep...

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Veröffentlicht in:	Graefe's archive for clinical and experimental ophthalmology Jg. 259; H. 10; S. 3119 - 3125
Hauptverfasser:	Bahçeci Şimşek, İlke, Şirolu, Can
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2021 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Blepharoplasty Blepharoptosis - diagnosis Blepharoptosis - surgery Computer vision Computers Eyelid Eyelids - surgery Face Humans Image processing Medicine Medicine & Public Health Oculoplastics and Orbit Ophthalmology Patients Pattern recognition Prohibitins Retrospective Studies Surgery Treatment Outcome Vision Computer vision algorithm Ptosis surgery Upper eyelid blepharoplasty Müller’s muscle-conjunctival resection Artificial intelligence Face and facial landmark detection
ISSN:	0721-832X, 1435-702X, 1435-702X
Online-Zugang:	Volltext
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