Publications by authors named "Jong In You"
Correlation between Topographic Progression of Geographic Atrophy and Visual Acuity Changes.
Korean J Ophthalmol
December 2021
Purpose: To analyze topographic progression of geographic atrophy with different concentric circles centered on the fovea in correlation with decrease of visual acuity.
Methods: We retrospectively analyzed 36 eyes of 26 patients diagnosed with geographic atrophy and followed at least 1 year. One millimeter circular area at the foveal center were defined as zone 1, and doughnut shape areas from between 1 and 2 mm to between 5 and 6 mm were defined as zone 2 to 6.
Article Synopsis
- The study aimed to create an automatic algorithm to analyze dystrophic lesions in corneal images by using a dataset of 32 photos of corneal dystrophy.
- Manual and automatic segmentation methods were compared, focusing on accurately identifying dystrophic areas by removing light reflections and utilizing image intensity.
- The results showed high similarity and correlation between manual and automatic methods, with an accuracy of about 0.80, suggesting potential for this algorithm in detecting and tracking corneal dystrophy progression.
Purpose: To investigate the diagnostic utility of microvascular parameters for grading the severity of diabetic retinopathy (DR) with a range of views using wide-field swept-source optical coherence tomography angiography (SS-OCTA).
Methods: This retrospective study grouped 235 eyes with diabetes into the five grades: diabetes without retinopathy (no-DR), mild non-proliferative DR (NPDR), moderate NPDR, severe NPDR, and proliferative DR (PDR). Foveal avascular zone (FAZ) metrics, vessel density (VD), and the capillary nonperfusion area (NPA) were quantified with a customized, semiautomatic software algorithm.
Objective: With the scenario of limited labeled dataset, this paper introduces a deep learning-based approach that leverages Diabetic Retinopathy (DR) severity recognition performance using fundus images combined with wide-field swept-source optical coherence tomography angiography (SS-OCTA).
Methods: The proposed architecture comprises a backbone convolutional network associated with a Twofold Feature Augmentation mechanism, namely TFA-Net. The former includes multiple convolution blocks extracting representational features at various scales.
Oral-Facial-Digital Syndrome Type IX with Subfoveal Drusenoid Deposit.
J Pediatr Genet
December 2020
Article Synopsis
- The patient exhibits multiple anomalies, including cleft lip and palate, micrognathia, and thumb polydactyly, characteristic of oral-facial-digital syndrome (OFDS), specifically type IX.
- Notably, they have unique eye conditions such as optic disc coloboma and subfoveal drusenoid deposit in the right eye, the latter being a new finding not previously associated with OFDS type IX.
- A thorough evaluation of the fundus is crucial for diagnosing OFDS, highlighting the importance of eye examinations in this condition.