[Prediction of microvascular invasion in hepatocellular carcinoma with magnetic resonance imaging using models combining deep attention mechanism with clinical features]. [PDF]
Nan Fang Yi Ke Da Xue Xue Bao, 2023 Gong G +6 more
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Research on Food Image Classification Algorithm based on Improved MobileNetV3-Large [PDF]
Food image recognition plays a crucial role in food safety monitoring, nutritional analysis, and dietary recommendation systems. However, the diversity, complexity, and external factors such as lighting conditions pose numerous difficulties and ...
HE Wei-chan, QIN Jing-hui, YANG Zhi-jing
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[A lightweight multiscale target object detection network for melanoma based on attention mechanism manipulation]. [PDF]
Nan Fang Yi Ke Da Xue Xue Bao, 2022 Zhong Y, Che W, Gao S.
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Discussion on Deep-Learning Strategies for Diagnosis of Multiple Diseases in Fundus Diseases [PDF]
Deep-learning algorithms can achieve the precise diagnosis of fundus diseases, which is crucial for the early diagnosis and timely intervention of these diseases.
GONG Ajuan, PAN Tianrong
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Huli yanjiu, 2008 摘要： （免费在线浏览）随着人们健康需求的日益增长和医疗体制改革的不断深化，医疗服务行业正面临着新的机遇与挑战，只有不断强化公共卫生意识，不断壮大公共卫生应急体系，不断加固疾病防控防线，才能从容不迫地应对各种公共卫生危机。而在“非典”巨大震撼之后应用而生的公共卫生体系的主力军新建传染病医院的建设与发展已成为人们关注的重点。
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[Automated detection of sleep-arousal using multi-scale convolution and self-attention mechanism]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2023 Li F, Xu Y, Zhang B, Cong F.
europepmc +1 more source
Implicit Modeling Network of Human Keypoints Based on Attention Mechanism [PDF]
Human pose estimation necessitates the use of visual cues and anatomical joint relationships to pinpoint key points. Existing Convolutional Neural Network(CNN) methods falter in addressing long-range contextual cues and modeling dependencies among ...
Jiayuan ZHAO, Yuru ZHANG, Xiaodong SU, Hongyan XU, Shizhou LI, Yurong ZHANG
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Automatic Essay Scoring Method Based on Topic Perception and Semantic Enhancement [PDF]
Automatic Essay Scoring (AES) is an important research topic for the application of Natural Language Processing (NLP) technology in the field of education. AES aims to improve scoring efficiency and enhance the objectivity and reliability of evaluations.
Yuhang CHEN, Yong YANG, Xianmusiya·Maimaitiming, Palidan·Tuerxun, Xiaochao FAN, Ge REN, Yufeng DIAO
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[Image segmentation of skin lesions based on dense atrous spatial pyramid pooling and attention mechanism]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2022 Yin W, Zhou D, Fan T, Yu Z, Li Z.
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Dianxin kexue现有的异质网络表征学习方法主要关注静态网络，忽略了时间属性对节点表示的重要影响。然而，真实的异质信息网络极具动态性，节点和边的微小变化都可能影响整个结构和语义。鉴于此，提出了基于霍克斯过程的动态异质网络表征学习方法。首先，利用关系旋转编码方式和注意力机制，学习相邻节点的注意力系数，获得节点的向量表示。其次，学习不同元路径的最优加权组合以更好捕获网络的结构和语义信息。最后，基于时间衰减效应，通过邻域形成序列将时间特征引入节点表示中，得到节点的最终嵌入表示。在多种基准数据集上的实验结果表明 ...
陈蕾， 邓琨， 刘星妍
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