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R Zhang1, L Jin1, Q M Chen2

  • 1Center of Information, Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine & Clinical Research Center for Oral Diseases of Zhejiang Province & Key Laboratory of Oral Biomedical Research of Zhejiang Province & Cancer Center of Zhejiang University & Engineering Research Center of Oral Biomaterials and Devices of Zhejiang Province, Hangzhou 310005, China.

概括

新的PixelSIFT-UNet模型通过将深度学习与规模不变特征转换 (SIFT) 算法集成,显著提高了口腔粘膜病变细分的准确性. 这种人工智能方法为诊断口腔平和白血病等疾病提供了更高的精度.

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