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  • Open Access


    ThyroidNet: A Deep Learning Network for Localization and Classification of Thyroid Nodules

    Lu Chen1,#, Huaqiang Chen2,#, Zhikai Pan7, Sheng Xu2, Guangsheng Lai2, Shuwen Chen2,5,6, Shuihua Wang3,8, Xiaodong Gu2,6,*, Yudong Zhang3,4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.1, pp. 361-382, 2024, DOI:10.32604/cmes.2023.031229

    Abstract Aim: This study aims to establish an artificial intelligence model, ThyroidNet, to diagnose thyroid nodules using deep learning techniques accurately. Methods: A novel method, ThyroidNet, is introduced and evaluated based on deep learning for the localization and classification of thyroid nodules. First, we propose the multitask TransUnet, which combines the TransUnet encoder and decoder with multitask learning. Second, we propose the DualLoss function, tailored to the thyroid nodule localization and classification tasks. It balances the learning of the localization and classification tasks to help improve the model’s generalization ability. Third, we introduce strategies for augmenting the data. Finally, we submit… More >

  • Open Access


    Research on Viewpoint Extraction in Microblog

    Yabin Xu1,2,*, Shujuan Chen2, Xiaowei Xu3

    Intelligent Automation & Soft Computing, Vol.30, No.2, pp. 495-511, 2021, DOI:10.32604/iasc.2021.018896

    Abstract In order to quickly get the viewpoint of key opinion leaders(KOL) on public events, a method of opinion mining in Weibo is put forward. Firstly, according to the characteristics of Weibo language, the non-viewpoint sentence recognition rule is formulated, and some non-viewpoint sentence is eliminated accordingly. Secondly, based on the constructed FastText-XGBoost viewpoint sentence recognition model, the second classification is carried out to identify the opinion sentence according to the dominant and recessive features of Weibo. Finally, the group of evaluation object and evaluation word is extracted from the opinion sentence, according to our proposed multi-task learning BiLSTM-CRFs model. In… More >

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