most citedMDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation

188 citations · 199 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2021★ 3 cited

ImageTBAD: A 3D Computed Tomography Angiography Image Dataset for Automatic Segmentation of Type-B Aortic Dissection

Zeyang Yao, Jiawei Zhang, Hailong Qiu +6

Type-B Aortic Dissection (TBAD) is one of the most serious cardiovascular events characterized by a growing yearly incidence,and the severity of disease prognosis. Currently, compu…

eess.IV2021

EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis

Tianchen Wang, Zhihe Li, Meiping Huang +6

Patent foramen ovale (PFO) is a potential separation between the septum, primum and septum secundum located in the anterosuperior portion of the atrial septum. PFO is one of the ma…

eess.IV2021

Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images

Xiaowe Xu, Jiawei Zhang, Jinglan Liu +10

As one of the most commonly ordered imaging tests, computed tomography (CT) scan comes with inevitable radiation exposure that increases the cancer risk to patients. However, CT im…

eess.IV2021★ 3 cited

Pyramid U-Net for Retinal Vessel Segmentation

Jiawei Zhang, Yanchun Zhang, Xiaowei Xu

Retinal blood vessel can assist doctors in diagnosis of eye-related diseases such as diabetes and hypertension, and its segmentation is particularly important for automatic retinal…

cs.CV2021★ 5 cited

ObjectAug: Object-level Data Augmentation for Semantic Image Segmentation

Jiawei Zhang, Yanchun Zhang, Xiaowei Xu

Semantic image segmentation aims to obtain object labels with precise boundaries, which usually suffers from overfitting. Recently, various data augmentation strategies like region…

cs.CV2018★ 188 cited

MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation

Jiawei Zhang, Yuzhen Jin, Jilan Xu +2

Biomedical image segmentation plays a central role in quantitative analysis, clinical diagnosis, and medical intervention. In the light of the fully convolutional networks (FCN) an…