40 citations · 52 across the 3 of their papers we have counts for
4 papers
Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-Contrast CT Images
Kongming Liang, Kai Han, Xiuli Li +4
Quantitative estimation of the acute ischemic infarct is crucial to improve neurological outcomes of the patients with stroke symptoms. Since the density of lesions is subtle and c…
Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation
Shen Wang, Kongming Liang, Chengwei Pan +5
The midline related pathological image features are crucial for evaluating the severity of brain compression caused by stroke or traumatic brain injury (TBI). The automated midline…
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model
Wenhui Cui, Yanlin Liu, Yuxing Li +6
Automated brain lesion segmentation provides valuable information for the analysis and intervention of patients. In particular, methods based on convolutional neural networks (CNNs…
Integrating Feature and Image Pyramid: A Lung Nodule Detector Learned in Curriculum Fashion
Benyuan Sun, Zhen Zhou, Fandong Zhang +2
Lung nodules suffer large variation in size and appearance in CT images. Nodules less than 10mm can easily lose information after down-sampling in convolutional neural networks, wh…