153 citations · 171 across the 2 of their papers we have counts for
3 papers
cs.CV2018★ 18 cited
Classification of Findings with Localized Lesions in Fundoscopic Images using a Regionally Guided CNN
Jaemin Son, Woong Bae, Sangkeun Kim +2
Fundoscopic images are often investigated by ophthalmologists to spot abnormal lesions to make diagnoses. Recent successes of convolutional neural networks are confined to diagnose…
cs.CV2018
Scale Space Approximation in Convolutional Neural Networks for Retinal Vessel Segmentation
Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
Retinal images have the highest resolution and clarity among medical images. Thus, vessel analysis in retinal images may facilitate early diagnosis and treatment of many chronic di…
cs.CV2017★ 153 cited
Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks
Jaemin Son, Sang Jun Park, Kyu-Hwan Jung
Retinal vessel segmentation is an indispensable step for automatic detection of retinal diseases with fundoscopic images. Though many approaches have been proposed, existing method…