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Structure convolutional extreme learning machine and case-based shape template for HCC nucleus segmentation.

, , , , , and . Neurocomputing, (2018)

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Joint multiple fully connected convolutional neural network with extreme learning machine for hepatocellular carcinoma nuclei grading., , and . Comput. Biol. Medicine, (2017)DFSNE-Net: Deviant feature sensitive noise estimate network for low-dose CT denoising., , , , and . Comput. Biol. Medicine, (2022)Classification of lymphoma subtypes in PET/CT images based on a bidirectional feature fusion method., , , , , , , and . ICBBE, page 49-54. ACM, (2022)A Novel Framework for Nominal Entity Recognition., and . ISCID (1), page 558-561. IEEE Computer Society, (2009)MTR-PET: Multi-temporal resolution PET images for lymphoma segmentation., , , and . Biomed. Signal Process. Control., 87 (Part A): 105529 (January 2024)Chinese Semantic Class Learning from Web Based on Concept-Level Characteristics., , , and . PACLIC, page 415-424. City University of Hong Kong Press, (2009)Structure convolutional extreme learning machine and case-based shape template for HCC nucleus segmentation., , , , , and . Neurocomputing, (2018)Thin-Film-Shaped Flexible Actuators., , , , and . Adv. Intell. Syst., (August 2023)MSRA-Net: Tumor segmentation network based on Multi-scale Residual Attention., , and . Comput. Biol. Medicine, (May 2023)Chinese Unknown Words Extraction Based on Word-Level Characteristics., , , and . HIS (1), page 361-366. IEEE Computer Society, (2009)