11 citations · 20 across the 4 of their papers we have counts for
5 papers
An Unpaired Cross-modality Segmentation Framework Using Data Augmentation and Hybrid Convolutional Networks for Segmenting Vestibular Schwannoma and Cochlea
Yuzhou Zhuang, Hong Liu, Enmin Song +2
The crossMoDA challenge aims to automatically segment the vestibular schwannoma (VS) tumor and cochlea regions of unlabeled high-resolution T2 scans by leveraging labeled contrast-…
A novel algorithm for segmentation of leukocytes in peripheral blood
Haichao Cao, Hong Liu, Enmin Song
In the detection of anemia, leukemia and other blood diseases, the number and type of leukocytes are essential evaluation parameters. However, the conventional leukocyte counting m…
Dual-branch residual network for lung nodule segmentation
Haichao Cao, Hong Liu, Enmin Song +5
An accurate segmentation of lung nodules in computed tomography (CT) images is critical to lung cancer analysis and diagnosis. However, due to the variety of lung nodules and the s…
Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection
Haichao Cao, Hong Liu, Enmin Song +5
Early detection of lung cancer is an effective way to improve the survival rate of patients. It is a critical step to have accurate detection of lung nodules in computed tomography…
Bone marrow cells detection: A technique for the microscopic image analysis
Haichao Cao, Hong Liu, Enmin Song
In the detection of myeloproliferative, the number of cells in each type of bone marrow cells (BMC) is an important parameter for the evaluation. In this study, we propose a new co…