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[基于共同学习的功能融合和变压器的乳腺癌病变细分]

Yuesong Zhai1, Zhili Chen1, Dan Shao2

  • 1School of Computer Science and Engineering, Shenyang Jianzhu University, Shenyang 110168, P. R. China.

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
|April 30, 2024
PubMed
概括

这项研究引入了一种新的双路径U-Net,用于使用正子发射断层扫描/计算机断层扫描 (PET/CT) 成像进行乳腺癌病变细分. 该方法实现了高精度,提高了多式联络医疗成像的诊断能力.

关键词:
乳腺癌的病变细分 乳腺癌的病变细分联合学习功能融合融合.双路径的U-Net是双路径的.定子发射断层扫描和计算机断层扫描.变压器变压器变压器

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