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检索条件"机构=Guangxi Key Laboratory of Image Graphics and Intelligent Processing"
222 条 记 录,以下是131-140 订阅
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Research on feature classification method of network text data based on association rules
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International Journal of Computers and Applications 2020年 第2期42卷 157-163页
作者: Huang, Hongben Guangxi Colleges and Universities Key Laboratory of Image Processing and Intelligent Information System Wuzhou University Wuzhou China
Due to the large number of features, sparse data, low precision of feature extraction, and long time-consuming. Using the current method to classify the text data features, it is difficult to achieve better results. A... 详细信息
来源: 评论
Focusing on diacritics to improve Vietnamese scene text detection
Focusing on diacritics to improve Vietnamese scene text dete...
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International Joint Conference on Neural Networks (IJCNN)
作者: Wenhui Huang Shaoliang Shi Yimin Wen Guilin University of Electronic Technology Guilin China China Academy of Science and Technology Development GuangXi Branch Nanning China Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin University of Electronic Technology Guilin China
Scene text detection is usually recognized as one of the fundamental challenges in computer vision and robotics. While the detection of scene text for English and Chinese has achieved great progress, Vietnamese scene ... 详细信息
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A Novel Dual-supervised Convolutional Network for Retinal Vessel Segmentation
A Novel Dual-supervised Convolutional Network for Retinal Ve...
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image processing, Computer Vision and Machine Learning (ICICML), International Conference on
作者: Zizheng Li Junlin Guan Huadeng Wang Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin University of Electronic Technology Guilin China
Retinal vascular images play an essential role in the early diagnosis of ophthalmic diseases. Automatic segmentation of retinal blood vessels is a challenging task due to the complex vascular interlacing of fundus ima... 详细信息
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Clglf: Confidence Learning Guides Label Fusion for Multimodal Named Entity Recognition Method
SSRN
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SSRN 2024年
作者: Wang, Hairong Wang, Tong Wang, Yiyan Chen, Fangping School of Computer Science and Engineering North Minzu University Yinchuan750021 China Key Laboratory of Image and Graphics Intelligent Processing of State Ethnic Affairs Commission North Minzu University Yinchuan750021 China
A B S T R A C TTo solve the visual semantic understanding bias and multimodal semantic bias in multimodal named entity recognition, the Confidence Learning Guides Label Fusion for Multimodal Named Entity Recognition (... 详细信息
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Visual Semantic Enhancement for Multi-Modal Named Entity Recognition
SSRN
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SSRN 2024年
作者: Wang, Tong Wang, Hairong Xu, Xi Chen, Fangping School of Computer Science and Engineering North Minzu University Yinchuan750021 China Key Laboratory of Image and Graphics Intelligent Processing State Ethnic Affairs Commission North Minzu University Yinchuan750021 China
In recent years, a series of methods have been proposed to use image semantics to assist in extracting named entities. However, in these multi-modal named entity recognition methods, there are problems of visual seman... 详细信息
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Teeth YOLACT: An Instance Segmentation Model Based on Impacted Tooth Panoramic X-Ray images
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Computers, Materials and Continua 2025年 第3期83卷 4815-4834页
作者: Tao Zhou Yaxing Wang Huiling Lu Wenwen Chai Yunfeng Pan Zhe Zhang School of Computer Science and Engineering North Minzu University Yinchuan 750021 China Key Laboratory of Image and Graphics Intelligent Processing of State Ethnic Affairs Commission North Minzu University Yinchuan 750021 China School of Medical Information & Engineering Ningxia Medical University Yinchuan 750004 China
The instance segmentation of impacted teeth in the oral panoramic X-ray images is hotly researched. However, due to the complex structure, low contrast, and complex background of teeth in panoramic X-ray images, the t... 详细信息
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Cross-patch feature interactive net with edge refinement for retinal vessel segmentation
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Computers in Biology and Medicine 2024年 174卷 108443-108443页
作者: Kang, Ning Wang, Maofa Pang, Cheng Lan, Rushi Li, Bingbing Guan, Junlin Wang, Huadeng School of Computer Science and Information Security Guilin University of Electronic Technology Guilin541004 China Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin541004 China Department of Pathology Ganzhou Municipal Hospital Ganzhou341000 China
Retinal vessel segmentation based on deep learning is an important auxiliary method for assisting clinical doctors in diagnosing retinal diseases. However, existing methods often produce mis-segmentation when dealing ... 详细信息
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SpliceCannon: A novel framework for the prediction of canonical and non-canonical splice sites based on deep learning
SpliceCannon: A novel framework for the prediction of canoni...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Yanju Zhang Wangjing Qi Ruohan Lin Jinli Fan Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin University of Electronic Technology Guilin China College of Computer Science and Technology Huaqiao University Xiamen China
Accurately predicting splice sites in DNA sequences is not only of utmost importance in the study of gene expression and protein synthesis, but also crucial to precisely understanding the pathogenesis of various disea...
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Tourismner:A Tourism Named Entity Recognition Method Based on Entity Boundary Jointprediction
SSRN
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SSRN 2024年
作者: Zhou, Jiahao Chi, Yunxian Wen, Yimin Gao, Kai School of Information Science and Engineering Hebei University of Science and Technology Shijiazhuang050018 China Guangxi Key Laboratory of Culture and Tourism Smart Technology Guilin Tourism University Guilin541006 China Guangxi Key Laboratory of Image and Graphic intelligent processing Guilin University of Electronic Technology Guilin541004 China
Tourism named entity recognition is indispensable in tourism information extraction, and plays a crucial role in constructing tourismknowledge map and enhancing tourism knowledge quiz system. The difficulty of tourism... 详细信息
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GLAND SEGMENTATION VIA DUAL ENCODERS AND BOUNDARY-ENHANCED ATTENTION
arXiv
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arXiv 2024年
作者: Wang, Huadeng Yu, Jiejiang Li, Bingbing Pan, Xipeng Liu, Zhenbing Lan, Rushi Luo, Xiaonan Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin China School of Computer Science and Information Security Guilin University of Electronic Technology Guilin China Department of Pathology Ganzhou Municipal Hospital Ganzhou China
Accurate and automated gland segmentation on pathological images can assist pathologists in diagnosing the malignancy of colorectal adenocarcinoma. However, due to various gland shapes, severe deformation of malignant... 详细信息
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