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Updated: Apr 26, 2026

Using Optical Coherence Tomography and Optokinetic Response As Structural and Functional Visual System Readouts in Mice and Rats
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CircWaveDL:基于新的基于张量词典学习的监督光学连贯断层扫描图像的建模,用于分类斑点异常

Roya Arian1, Alireza Vard2, Rahele Kafieh3

  • 1Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran; Department of Bioelectrics and Biomedical Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran; Department of Engineering, Durham University, South Road, Durham, UK.

Artificial intelligence in medicine
|January 11, 2025
PubMed
概括

本研究介绍了CircWaveDL,这是一种基于张量器的新字典学习方法,用于光学连贯断层扫描 (OCT) 图像分类. CircWaveDL有效地建模了多维的OCT数据,提高了斑点异常的诊断准确度.

关键词:
在CP分解过程中,CP分解.分类 分类 分类 分类.歧视性的词典学习.光学连贯性断层扫描仪稀少的代表性 稀少的代表性

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