11 citations · 20 across the 3 of their papers we have counts for
3 papers
eess.IV2022
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-…
cs.CV2019★ 11 cited
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…
cs.CV2019★ 9 cited
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…