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20182023
most citedGlobally Guided Progressive Fusion Network for 3D Pancreas Segmentation

36 citations · 121 across the 25 of their papers we have counts for

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Showing eess.IVShow all

5 papers · 1 filter

eess.IV2022★ 1 cited

Deep 3D Vessel Segmentation based on Cross Transformer Network

Chengwei Pan, Baolian Qi, Gangming Zhao +4

The coronary microvascular disease poses a great threat to human health. Computer-aided analysis/diagnosis systems help physicians intervene in the disease at early stages, where 3…

eess.IV2022

Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation

Xinkai Zhao, Chaowei Fang, De-Jun Fan +3

Semi-supervised learning (SSL), which aims at leveraging a few labeled images and a large number of unlabeled images for network training, is beneficial for relieving the burden of…

eess.IV2021★ 1 cited

Incremental Cross-view Mutual Distillation for Self-supervised Medical CT Synthesis

Chaowei Fang, Liang Wang, Dingwen Zhang +3

Due to the constraints of the imaging device and high cost in operation time, computer tomography (CT) scans are usually acquired with low intra-slice resolution. Improving the int…

eess.IV2020

Contralaterally Enhanced Networks for Thoracic Disease Detection

Gangming Zhao, Chaowei Fang, Guanbin Li +2

Identifying and locating diseases in chest X-rays are very challenging, due to the low visual contrast between normal and abnormal regions, and distortions caused by other overlapp…

eess.IV2019★ 36 cited

Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation

Chaowei Fang, Guanbin Li, Chengwei Pan +2

Recently 3D volumetric organ segmentation attracts much research interest in medical image analysis due to its significance in computer aided diagnosis. This paper aims to address…