Search Results - "Mei, Mengqing"

GOI-YOLOv8 Grouping Offset and Isolated GiraffeDet Low-Light Target Detection by Mei, Mengqing, Zhou, Ziyu, Liu, Wei, Ye, Zhiwei

“…In the realm of computer vision, object detection holds significant importance and has demonstrated commendable performance across various scenarios. However,…”
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An integrated convolutional neural network for classifying small pulmonary solid nodules by Mei, Mengqing, Ye, Zhiwei, Zha, Yunfei

“…Achieving accurate classification of benign and malignant pulmonary nodules is essential for treating some diseases. However, traditional typing methods have…”
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Multi‐label learning based target detecting from multi‐frame data by Mei, Mengqing, He, Fazhi

“…In the field of target detecting, lots of progress have been made in recent years. Owing to the progress of multiple frames time series data, or video…”
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An innovative multi-label learning based algorithm for city data computing by Mei, Mengqing, Zhong, Yongjian, He, Fazhi, Xu, Chang

“…Investigating correlation between example features and example labels is essential to the solving of classification problems. However, identification and…”
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A Discriminant Subspace Learning Based Face Recognition Method by Mei, Mengqing, Huang, Jianzhong, Xiong, Weiwei

“…In the system of face recognition, the tradition method of data dimension reduction method is used to rearrange the face image vectors, resulting in the…”
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High-Dimensional Feature Selection Based on Improved Binary Ant Colony Optimization Combined with Hybrid Rice Optimization Algorithm by Ye, A. Zhiwei, Li, B. Ruihan, Zhou, C. Wen, Wang, D. Mingwei, Mei, E. Mengqing, Shu, F. Zhe, Shen, G. Jun

“…In the realm of high-dimensional data analysis, numerous fields stand to benefit from its applications, including the biological and medical sectors that are…”
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Attention deep residual networks for MR image analysis by Mei, Mengqing, He, Fazhi, Xue, Shan

“…Prostate diseases often occur in men. For further clinical treatment and diagnosis, we need to do accurate segmentation on prostate. There are already many…”
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DAT-Net: Deep Aggregation Transformer Network for automatic nuclear segmentation by Mei, Mengqing, Wei, Zimei, Hu, Bin, Wang, Mingwei, Mei, Liye, Ye, Zhiwei

“…Detection and segmentation of cell nuclei in hematoxylin and eosin-stained tissue images pose critical clinical challenges, including intricate backgrounds,…”
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DSCA-Net: Double-stage Codec Attention Network for automatic nuclear segmentation by Ye, Zhiwei, Hu, Bin, Sui, Haigang, Mei, Mengqing, Mei, Liye, Zhou, Ran

“…The rapid and precise segmentation of cell nuclei from hematoxylin and eosin-stained tissue images is an essential clinical undertaking with significant…”
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Adversarial training collaborating hybrid convolution-transformer network for automatic identification of reactive lymphocytes in peripheral blood by Mei, Liye, Peng, Haoran, Luo, Ping, Jin, Shuangtong, Shen, Hui, He, Jing, Yang, Wei, Ye, Zhiwei, Sui, Haigang, Mei, Mengqing, Lei, Cheng, Xiong, Bei

“…Reactive lymphocytes may indicate diseases such as viral infections. Identifying these abnormal lymphocytes is crucial for disease diagnosis. Currently,…”
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