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Updated: Jan 23, 2026

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量子无声自编码器改善了视网膜底部图像质量,用于早期糖尿病视网膜病变查

Rajitha Chilukuri1, Praveen P2, Ranjith Kumar Gatla3

  • 1School of Computer Science & Artificial Intelligence, SR University, Warangal, Telangana, 506371, India.

Scientific reports
|January 21, 2026
PubMed
概括

一个新的量子除色自编码器 (QDAE) 有效地消除了视网膜底图像中的噪声,改善了糖尿病视网膜病变 (DR) 的早期检测. 这种量子古典方法提高了图像质量,以便更好地诊断.

关键词:
深度学习是一种深度学习.糖尿病视网膜病变 - 糖尿病视网膜病变在 Fundus 图像中删除 Fundus 图像.医疗图像处理 医学图像处理参数化的量子电路 (PQC)量子计算是一种量子计算.

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