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深度学习与精细的单候选人优化器,用于早期检测聚合物

Guoyi Wen1, Jiayu Yan2, Xin Chen3

  • 1Hernia and Colorectal Surgery, Second Affiliated Hospital of Dalian Medical University, Dalian, 116000, China.

Scientific reports
|November 18, 2025
PubMed
概括

这项研究引入了一种自动化的深度学习方法,用于检测结肠镜图像中的结肠直肠多,改善结肠直肠癌 (CRC) 的早期诊断. 这种新的方法提高了特征提取和分类精度,以更好地选CRC.

关键词:
咖啡网 (CaffeNet) 是一个咖啡网.结肠直肠癌是一种癌症.深度学习是一种深度学习.超听证学是一种超听证学.检测聚体检测的方法精制的单候选优化器 (RSCO)在SVM中,SVM是SVM.

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Synthetic polymers are classified as elastomers, fibers, or plastics based on their crystallinity. Crystallinity, the degree of long-range order in the solid state, influences the mechanical properties (stretching or contracting) of elastomers. Elastomers are flexible polymers that can expand or contract easily upon the application of an external force. They have numerous crosslinks that pull them back into their original shape when stress is removed. Silicones, for instance, are highly elastic...