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Deeply Supervised U-Net with Feature Fusion: Automatic COVID-19 Lung Infection Segmentation from CT Images.

, , , , , , , and . ISICDM, page 86-90. ACM, (2020)

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MoGCN: Mixture of Gated Convolutional Neural Network for Named Entity Recognition of Chinese Historical Texts., , and . IEEE Access, (2020)Exploiting Hybrid Subword Information for Chinese Historical Named Entity Recognition., and . IEEE BigData, page 4795-4801. IEEE, (2020)A Comparative Studies of Automatic Query Formulation in Full-Text Database Search of Chinese Digital Humanities., , and . iConference (1), volume 12645 of Lecture Notes in Computer Science, page 457-468. Springer, (2021)SEN: A subword-based ensemble network for Chinese historical entity extraction., , and . Nat. Lang. Eng., 29 (4): 1043-1065 (July 2023)Characterizing Emerging Technologies of Global Digital Humanities Using Scientific Method Entities., and . EEKE/AII@JCDL, volume 3451 of CEUR Workshop Proceedings, page 33-40. CEUR-WS.org, (2023)Clinical value of resting cardiac dual-energy CT in patients suspected of coronary artery disease., , , and . BMC Medical Imaging, 22 (1): 32 (2022)Exploring Multiview Interactive Visualization for Chinese Historical Texts Using Knowledge Aggregation., and . JCDL, page 165-168. IEEE, (2023)When grey model meets deep learning: A new hazard classification model., , , , and . Inf. Sci., (2024)A deep active learning-based and crowdsourcing-assisted solution for named entity recognition in Chinese historical corpora., , , and . Aslib J. Inf. Manag., 75 (3): 455-480 (2023)Deeply Supervised U-Net with Feature Fusion: Automatic COVID-19 Lung Infection Segmentation from CT Images., , , , , , , and . ISICDM, page 86-90. ACM, (2020)