output
20122024
most citedMDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation

188 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2021Show all

5 papers · 1 filter

cs.CV2021

Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography

Dewen Zeng, Mingqi Li, Yukun Ding +7

Most existing deep learning-based frameworks for image segmentation assume that a unique ground truth is known and can be used for performance evaluation. This is true for many app…

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★ 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★ 1 cited

HIVE-Net: Centerline-Aware HIerarchical View-Ensemble Convolutional Network for Mitochondria Segmentation in EM Images

Zhimin Yuan, Xiaofen Ma, Jiajin Yi +2

Semantic segmentation of electron microscopy (EM) is an essential step to efficiently obtain reliable morphological statistics. Despite the great success achieved using deep convol…

eess.IV2021★ 1 cited

ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease

Xiaowei Xu, Tianchen Wang, Jian Zhuang +6

Congenital heart disease (CHD) is the most common type of birth defect, which occurs 1 in every 110 births in the United States. CHD usually comes with severe variations in heart s…