Analysis of surgical outcome after upper eyelid surgery by computer vision algorithm using face and facial landmark detection
| Autor: | Can Şirolu, Ilke Bahceci Simsek |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Blepharoplasty
medicine.medical_specialty genetic structures medicine.medical_treatment Eyebrow 02 engineering and technology 03 medical and health sciences Cellular and Molecular Neuroscience 0302 clinical medicine Eyelid surgery Artificial Intelligence Prohibitins 0202 electrical engineering electronic engineering information engineering Medicine Computer vision algorithms Blepharoptosis Humans Retrospective Studies Facial expression Landmark business.industry Computers Eyelids eye diseases Sensory Systems Surgery Ophthalmology medicine.anatomical_structure Palpebral fissure Treatment Outcome 030221 ophthalmology & optometry 020201 artificial intelligence & image processing sense organs Eyelid business |
| Zdroj: | Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie. 259(10) |
| ISSN: | 1435-702X |
| Popis: | 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 Muller’s muscle-conjunctival resection (MMCR). All patients who underwent upper eyelid blepharoplasty surgery (Group I), or upper eyelid blepharoplasty with MMCR (Group II) were included. Both preoperative and 6-month postoperative anterior full-face photographs of 55 patients were analyzed. Computer vision and image processing technologies were used to measure the palpebral distance (PD), eye-opening area (EA), and average eyebrow height (AEBH) for both eyes. Preoperative and postoperative measurements were calculated and compared between the two groups. In Group II, change in postoperative Right PD, Left PD, Right EA, Left EA was significantly higher than in Group I (p = 0.004 for REPD; p = 0.001 for LEPD; p = 0.004 for REA; p = 0.002 for LEA, p |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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