Joon-Ho Lee

TL;DR: It is observed that two of the top-ranked teams outperformed two human experts in the glaucoma classification task, and the segmentation results were in general consistent with the ground truth annotations, with complementary outcomes that can be further exploited by ensembling the results.

TL;DR: An automated detection algorithm for screening fundus abnormalities, including age-related macular degeneration, diabetic retinopathy, epiretinal membrane, retinal vascular occlusion, and suspected glaucoma among health screening program participants was developed.

TL;DR: In this paper, an IC chip and a method of verifying data thereof are provided, and the present invention verifies integrity of data by comparing an integrity verifying value generated from data using an integrity verifying value generating algorithm before a write operation for storing data in a storing unit is performed, and an integrity verification value from data stored in the storing unit using the integrity verifier generating algorithm after the write operation is completed.

TL;DR: Wang et al. as discussed by the authors proposed a deep learning approach to predict coronary artery calcium score (CACS) from retinal fundus photographs without using electronic health record (EHR) data.

TL;DR: In this article, the first processing unit is configured to respond to a reset signal from the external interface by transmitting an answer-to-reset (ATR) to the external interfaces.