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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Vydané v:	Graefe's archive for clinical and experimental ophthalmology Ročník 259; číslo 10; s. 3119 - 3125
Hlavní autori:	Bahçeci Şimşek, İlke, Şirolu, Can
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2021 Springer Nature B.V
Predmet:	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
On-line prístup:	Získať plný text
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