Prediction of Early Visual Outcome of Small-Incision Lenticule Extraction (SMILE) Based on Deep Learning
Abstract Introduction Deep learning (DL) has been widely used to estimate clinical images. The objective of this project was to create DL models to predict the early postoperative visual acuity after small-incision lenticule extraction (SMILE) surgery. Methods We enrolled three independent patient c...
Main Authors: | Qi Wan, Shali Yue, Jing Tang, Ran Wei, Ke Ma, Hongbo Yin, Ying-ping Deng |
---|---|
Format: | Article |
Language: | English |
Published: |
Adis, Springer Healthcare
2023-02-01
|
Series: | Ophthalmology and Therapy |
Subjects: | |
Online Access: | https://doi.org/10.1007/s40123-023-00680-6 |
Similar Items
-
Update of Research Progress on Small Incision Lenticule Extraction (SMILE) Lenticule Reuse
by: Zhang H, et al.
Published: (2023-05-01) -
Visual Outcomes of Small-Incision Lenticule Extraction (SMILE) in Thin Corneas
by: Erika Eskina, et al.
Published: (2022-07-01) -
Investigation of Accuracy and Influence Factors of Predicting Lenticule Thickness in Small Incision Lenticule Extraction by Machine Learning Models
by: Huihang Wang, et al.
Published: (2023-01-01) -
Photorefractive Keratectomy Enhancement (PRK) After Small-Incision Lenticule Extraction (SMILE)
by: Moshirfar M, et al.
Published: (2022-09-01) -
Artificial intelligence-based nomogram for small-incision lenticule extraction
by: Seungbin Park, et al.
Published: (2021-04-01)