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20182022
most citedCE-Net: Context Encoder Network for 2D Medical Image Segmentation

2.3k citations · 4.3k across the 36 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018★ 12 cited

Multi-Context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT

Huazhu Fu, Yanwu Xu, Stephen Lin +5

A major cause of irreversible visual impairment is angle-closure glaucoma, which can be screened through imagery from Anterior Segment Optical Coherence Tomography (AS-OCT). Previo…

cs.CV2018★ 3 cited

Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading

Kang Zhou, Zaiwang Gu, Wen Liu +4

Diabetic Retinopathy (DR) is a non-negligible eye disease among patients with Diabetes Mellitus, and automatic retinal image analysis algorithm for the DR screening is in high dema…

cs.CV2018★ 75 cited

Structure-preserving Guided Retinal Image Filtering and Its Application for Optic Disc Analysis

Jun Cheng, Zhengguo Li, Zaiwang Gu +3

Retinal fundus photographs have been used in the diagnosis of many ocular diseases such as glaucoma, pathological myopia, age-related macular degeneration and diabetic retinopathy.…

cs.CV2018★ 401 cited

Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image

Huazhu Fu, Jun Cheng, Yanwu Xu +4

Glaucoma is a chronic eye disease that leads to irreversible vision loss. Most of the existing automatic screening methods firstly segment the main structure, and subsequently calc…

cs.CV2018★ 842 cited

Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation

Huazhu Fu, Jun Cheng, Yanwu Xu +3

Glaucoma is a chronic eye disease that leads to irreversible vision loss. The cup to disc ratio (CDR) plays an important role in the screening and diagnosis of glaucoma. Thus, the…