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卷积神经网络与并行卷积尺度注意模块和ResCBAM用于乳腺组织学图像分类.

Ting Yan1, Guohui Chen1, Huimin Zhang2

  • 1Translational Medicine Research Center, Shanxi Medical University, Taiyuan, China.

Heliyon
|May 21, 2024
PubMed
概括

一个新的轻量级深度学习模型,PCSAM-ResCBAM,从病理图像改善了早期乳腺癌检测. 这种自动化系统提高了诊断的准确性,帮助临床医生在患者的治疗和预后.

关键词:
乳腺癌是什么? 乳腺癌是什么扩张卷积的卷积.功能融合的特点是:平行卷曲注意力尺度注意力尺度在ResCBAM中使用ResCBAM.

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