Tokumo Kana

Validation of a Deep Learning Model to Screen for Glaucoma Using Images from Different Fundus Cameras and Data Augmentation.

The previously developed deep residual learning algorithm achieved high diagnostic performance with different fundus cameras across multiple institutes, in particular when image augmentation was used.

Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms.

Deep learning glaucoma detection can achieve high accuracy across diverse datasets with appropriate training strategies.

The Relationship Between Corvis ST Tonometry Parameters and Ocular Response Analyzer Corneal Hysteresis.

CST parameters are significant, but weakly or moderately, related to ORA measured CH.

Association of the CYP39A1 G204E Genetic Variant with Increased Risk of Glaucoma and Blindness in Patients with Exfoliation Syndrome.

Patients with XFS carrying the CYP39A1 G204E mutation had significantly increased risk of blindness, higher occurrence of XFG, and more severe glaucoma compared with patients with XFS without any CYP39A1 mutation.

Comment on Cataract Surgery and Rate of Visual Field Progression in Primary Open-Angle Glaucoma.

Corneal endothelial cell density changes after Preserflo MicroShunt implantation.

PMS implantation was associated with CECD reduction over 12 months. A narrower TCA and higher preoperative intraocular pressure were significant predictors of CECD loss.

One-Year Outcomes of Gonio Scratch as a Minimally Invasive Glaucoma Surgery With Cataract Removal.

GS-Phaco achieved sustained IOP reduction and a decrease in medication use at 12 months postoperatively in patients with open angle glaucoma and cataracts.