Stanislao Rizzo1,2,3, Alfonso Savastano1,2, Jacopo Lenkowicz4, Maria Cristina Savastano1,2, Luca Boldrini2,4, Daniela Bacherini5, Benedetto Falsini1,2, Vincenzo Valentini2,4. 1. Ophthalmology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy. 2. Ophthalmology Unit, Catholic University "Sacro Cuore", 00168 Rome, Italy. 3. Consiglio Nazionale delle Ricerche (CNR), Istituto di Neuroscienze, 56024 Pisa, Italy. 4. Radiation Oncology Unit, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, 00168 Rome, Italy. 5. Department of Neurosciences, Psychology, Drug Research and Child Health Eye Clinic, University of Florence, AOU Careggi, 50139 Florence, Italy.
In the original publication [1], there was a mistake in the legend for Figure 8. Values for C1 and C2 were inverted. The correct legend appears below.Figure 8 legend becomes:Clustering analysis from Inception V3 deep learning features based on combined superficial and deep OCT-As. The mean 1-year BVCA for C1 and C2 was 66.67 and 49.1, respectively, with a t-test p-value equal to 0.005.
Error in Table
In the original publication, there was a mistake in Table 2 as published. Values for C1 and C2 were inverted. The corrected Table 2 appears below.
Table 2
Distribution of 1-year visual acuity score in the two image clusters for the different CNN types. * p < 0.05; ** p < 0.01.
CNN Type
Image Type
1-Year Visual Acuity Mean (Standard Deviation)—Cluster 1
1-Year Visual Acuity Mean (Standard Deviation)—Cluster 2
t-Test p-Value
Inception V3
Superficial Images
59.64 (18.40)
51.52 (20.50)
0.252
Deep Images
61.70 (17.20)
49.87 (20.50)
0.081
Superficial + Deep Images
66.67 (16.00)
49.10 (18.60)
0.005 **
VGG-16
Superficial Images
62.29 (15.90)
52.86 (20.80)
0.139
Deep Images
59.96 (17.6)
43.29 (21.40)
0.092
Superficial + Deep Images
63.85 (15.40)
52.36 (20.50)
0.070
VGG-19
Superficial Images
67.80 (11.90)
52.16 (20.20)
0.008 **
Deep Images
60.50 (18.20)
45.44 (19.20)
0.060
Superficial + Deep Images
59.92 (14.00)
54.91 (21.70)
0.416
SqueezeNet
Superficial Images
59.03 (18.00)
45.00 (22.40)
0.196
Deep Images
-
-
-
Superficial + Deep Images
66.90 (13.4)
52.52 (20.10)
0.021 *
Distribution of 1-year visual acuity score in the two image clusters for the different CNN types. * p < 0.05; ** p < 0.01.
Text Correction
There was an error in the original publication. Values for C1 and C2 were inverted.A correction has been made to Abstract, sentence: best-corrected visual acuity (BCVA) C1 = 49.10 (18.60 SD) and BCVA C2 = 66.67 (16.00 SD, p = 0.005)The sentence becomes:best-corrected visual acuity (BCVA) C1 = 66.67 (16.00 SD) and BCVA C2 = 49.10 (18.60 SD, p = 0.005).A correction has been made to Results, Paragraph 9, sentence: In this configuration, the mean of letters for C1 and C2 was 49.1 and 66.67, respectively, with a t-test p-value equal to 0.005 (Figure 8)The sentence becomes:In this configuration, the mean of letters for C1 and C2 was 66.67 and 49.1, respectively, with a t-test p-value equal to 0.005 (Figure 8).The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.