204 citations · 402 across the 14 of their papers we have counts for
5 papers · 1 filter
Tournament Based Ranking CNN for the Cataract grading
Dohyeun Kim, Tae Joon Jun, Daeyoung Kim +1
Solving the classification problem, unbalanced number of dataset among the classes often causes performance degradation. Especially when some classes dominate the other classes wit…
2sRanking-CNN: A 2-stage ranking-CNN for diagnosis of glaucoma from fundus images using CAM-extracted ROI as an intermediate input
Tae Joon Jun, Dohyeun Kim, Hoang Minh Nguyen +2
Glaucoma is a disease in which the optic nerve is chronically damaged by the elevation of the intra-ocular pressure, resulting in visual field defect. Therefore, it is important to…
Automated diagnosis of pneumothorax using an ensemble of convolutional neural networks with multi-sized chest radiography images
Tae Joon Jun, Dohyeun Kim, Daeyoung Kim
Pneumothorax is a relatively common disease, but in some cases, it may be difficult to find with chest radiography. In this paper, we propose a novel method of detecting pneumothor…
Automated detection of vulnerable plaque in intravascular ultrasound images
Tae Joon Jun, Soo-Jin Kang, June-Goo Lee +6
Acute Coronary Syndrome (ACS) is a syndrome caused by a decrease in blood flow in the coronary arteries. The ACS is usually related to coronary thrombosis and is primarily caused b…
ECG arrhythmia classification using a 2-D convolutional neural network
Tae Joon Jun, Hoang Minh Nguyen, Daeyoun Kang +3
In this paper, we propose an effective electrocardiogram (ECG) arrhythmia classification method using a deep two-dimensional convolutional neural network (CNN) which recently shows…