Search Results - "Gong, Zhaoxuan"

Classification of COVID-19 pneumonia from chest CT images based on reconstructed super-resolution images and VGG neural network by Tan, Wenjun, Liu, Pan, Li, Xiaoshuo, Liu, Yao, Zhou, Qinghua, Chen, Chao, Gong, Zhaoxuan, Yin, Xiaoxia, Zhang, Yanchun

“…The COVID-19 coronavirus has spread rapidly around the world and has caused global panic. Chest CT images play a major role in confirming positive COVID-19…”
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Double U-Nets for Image Segmentation by Integrating the Region and Boundary Information by Guo, Wei, Zhou, Hanxun, Gong, Zhaoxuan, Zhang, Guodong

“…The existing CNN-based segmentation methods use the object regions alone as the labels to train their networks, and the potentially useful boundaries annotated…”
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Abdomen tissues segmentation from computed tomography images using deep learning and level set methods by Gong, Zhaoxuan, Song, Jing, Guo, Wei, Ju, Ronghui, Zhao, Dazhe, Tan, Wenjun, Zhou, Wei, Zhang, Guodong

“…Accurate abdomen tissues segmentation is one of the crucial tasks in radiation therapy planning of related diseases. However, abdomen tissues segmentation…”
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Effective integration of object boundaries and regions for improving the performance of medical image segmentation by using two cascaded networks by Guo, Wei, Zhang, Guodong, Gong, Zhaoxuan, Li, Qiang

“…•We proposed a framework of two cascaded networks to integrate the region and boundary information for improving the accuracy of object segmentation.•The…”
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Multiloss strategy for breast cancer subtype classification using digital breast tomosynthesis by Guo, Wei, Li, Xiaomin, Gong, Zhaoxuan, Zhang, Guodong, Jiang, Xiran

“…Breast cancer is the most common cancer for women, and it also is the leading cause of cancer‐related deaths. As a highly heterogeneous disease, it is crucial…”
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Segmentation of the left atrial appendage based on fusion attention by Zhang, Guodong, Liang, Kaichao, Li, Yanlin, Liang, Tingyu, Gong, Zhaoxuan, Ju, Ronghui, Zhao, Dazhe, Zhang, Zhuoning

“…In clinical practice, the morphology of the left atrial appendage (LAA) plays an important role in the selection of LAA closure devices for LAA closure…”
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Effective use of prior information for high-performance embryo grading by Guo, Wei, Liu, Shijie, Gong, Zhaoxuan, Zhang, Guodong, Jiang, Xiran

“…•This study first directly used the features of cell boundaries as the effective and implicit representation of prior information to grade day 3 human embryos…”
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Cascaded networks for the embryo classification on microscopic images using the residual external‐attention by Guo, Wei, Liu, Shijie, Gong, Zhaoxuan, Zhang, Guodong, Jiang, Xiran

“…Embryo assessment and selection are usually based on the visual morphological analysis by expert embryologists. Although the embryologist assessment has been…”
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Segmentation of the left atrium and proximal pulmonary veins based on dimensional decomposition attention by Zhang, Guodong, Liang, Tingyu, Li, Yanlin, Liang, Kaichao, Gong, Zhaoxuan, Guo, Wei, Zhang, Zhuoning, Ju, Ronghui

“…Pulmonary vein anatomical structure typing plays a crucial role in the preoperative assessment and postoperative evaluation of lung tumor resection, atrial…”
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MOTC: Abdominal Multi-objective Segmentation Model with Parallel Fusion of Global and Local Information by Zhang, GuoDong, Gu, WenWen, Wang, SuRan, Li, YanLin, Zhao, DaZhe, Liang, TingYu, Gong, ZhaoXuan, Ju, RongHui

“…Convolutional Neural Networks have been widely applied in medical image segmentation. However, the existence of local inductive bias in convolutional…”
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Deep sparse autoencoder integrated with three‐stage framework for glaucoma diagnosis by Wang, Wenle, Zhou, Wei, Ji, Jianhang, Yang, Jikun, Guo, Wei, Gong, Zhaoxuan, Yi, Yugen, Wang, Jianzhong

“…Recently, end‐to‐end deep neural networks‐based glaucoma diagnosis approaches have been gaining much attention. However, the feature extractor and classier in…”
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A hybrid approach based on deep learning and level set formulation for liver segmentation in CT images by Gong, Zhaoxuan, Guo, Cui, Guo, Wei, Zhao, Dazhe, Tan, Wenjun, Zhou, Wei, Zhang, Guodong

“…Accurate liver segmentation is essential for radiation therapy planning of hepatocellular carcinoma and absorbed dose calculation. However, liver segmentation…”
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Michigan-based variable-length encoding of genetic algorithm for k-anonymization by Wang Li, Zhaoxuan Gong

“…K-anonymization is an effective method to protect personal privacy issues. Recently, genetic algorithm-based clustering approach has been successfully applied…”
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An automatic partitioning method of CTA head-neck image by Gong Zhaoxuan, Tan Wenjun, Yang Jinzhu, Xu Meng jia, Bian Zijian, Zhao Da-zhe

“…The segmentation of vessel in CTA is a challenging task mainly due to bone contact from different regions. The proposed method considers a spatial structure…”
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Level set evolution with intensity prior knowledge for multiple sclerosis lesion segmentation by Gong, Zhaoxuan, Guo, Wei, Zhu, Zhenyu, Guo, Jia, Li, Wei, Zhang, Guodong

“…Background and Objectives: Multiple sclerosis (MS) lesion segmentation is important in estimating the progress of the disease and measuring the impact of new…”
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Multi-Scale Hybrid Attention Integrated with Vision Transformers for Enhanced Image Segmentation by Gong, Zhaoxuan, Chanmean, Meas, Gu, Wenwen

“…In this paper, we present an advanced approach for image segmentation that enhances Vision Transformers (ViTs) by integrating multi-scale hybrid attention…”
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Level set framework of multi-atlas label fusion with applications to magnetic resonance imaging segmentation of brain region of interests and cardiac left ventricles by Gong, Zhaoxuan, Lu, Zhentai, Zhao, Dazhe, Wang, Shuai, Liu, Yu, Song, Yihua, Xuan, Kai, Tan, Wenjun, Li, Chunming

“…ABSTRACT Background and Objectives: This paper evaluates the performance of a variational level set method for performing label fusion through the use of a…”
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A multi-label fusion based level set method for multiple sclerosis lesion segmentation by Gong, Zhaoxuan, Guo, Wei, Zhang, Guoxu, Guo, Jia, Zhu, Zhenyu, Tan, Wenjun, Zhang, Guodong

“…A multi-label based level set model for multiple sclerosis lesion segmentation is proposed based on the shape, position and other information of lesions from…”
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Automated Thalamus Segmentation in MR Images Using Convolutional Networks by Gong, Zhaoxuan, Sun, Chuang, Guo, Wei, Tan, Wenjun, Zhou, Wei, Zhang, Guodong

“…Thalamus segmentation in Magnetic Resonance Image is a challenging task because of the high inter-patient anatomical variability in both shape and size between…”
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