There was an error in the original publication [1]. In the revised article, the “we” statement has been replaced by the author’s name. A correction has been made to Section 2 Related Works, paragraph 1 and Section 3.1 Dataset Availability, paragraph 1:
Section 2, Related Work, paragraph 1, sentence 14: During the course of their research, Sivaparthipan et al. constructed a deep learning model with the goal of identifying general abnormalities as well as particular diagnoses on MRI scans [22].
Section 2, Related Work, paragraph 1, sentence 24: Nguyen et al. proposed a depth-based palm biometric identification solution.
Section 2, Related Work, paragraph 1, sentence 28: In this paper, Jin et al. used a set of data called the Fundus Image Vessel Evaluation Set (FIVES) for their research.
Section 3.1, Dataset Availability, paragraph 1, sentence 1: In this paper, we utilized data from the publicly available DeepDRiD dataset, which can be accessed online.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.
Reference
- Srinivasan, S.; Nagarnaidu Rajaperumal, R.; Mathivanan, S.K.; Jayagopal, P.; Krishnamoorthy, S.; Kardy, S. Detection and Grade Classification of Diabetic Retinopathy and Adult Vitelliform Macular Dystrophy Based on Ophthalmoscopy Images. Electronics 2023, 12, 862. [Google Scholar] [CrossRef]
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