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Updated: Jun 18, 2026

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基于跳过连接的高效剩余网络 (ESRNet) 用于脑瘤分类.

Ashwini B1, Manjit Kaur2, Dilbag Singh3,4

  • 1Department of ISE, NMAM Institute of Technology, Nitte (Deemed to be University), Nitte 574110, India.

Diagnostics (Basel, Switzerland)
|October 28, 2023
PubMed
概括

这项研究引入了一个基于跳过连接的有效剩余网络 (ESRNet) 用于脑瘤分类 (BTC). ESRNet显著提高了诊断准确性,为临床应用提供了一个有前途的工具.

关键词:
脑瘤分类 脑瘤的分类深度学习是一种深度学习.功能学习的特点是学习.医学诊断 医学诊断 医学诊断剩余网络 剩余网络消失的梯度梯度消失的梯度

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