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Updated: Jan 7, 2026

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

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在OCT图像中进行数据效率高的DRIL分类的自我监督表示学习

Pavithra Kodiyalbail Chakrapani1, Akshat Tulsani2, Preetham Kumar1

  • 1Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India.

Diagnostics (Basel, Switzerland)
|December 30, 2025
PubMed
概括

一个新的自主监督学习框架有效地检测了使用未标记的OCT图像在糖尿病黄斑胀中视网膜内层 (DRIL) 的失调. 这种方法显著提高了对具有有限专家数据的罕见视网膜病理的准确性.

关键词:
深度学习是一种深度学习.糖尿病 糖尿病患者 糖尿病患者糖尿病黄斑胀 糖尿病黄斑胀疾病 疾病 疾病 疾病健康的健康健康的健康.光学连贯性断层扫描技术优化器是优化器的优化器.视觉变压器 视觉变压器

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