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Updated: Jan 9, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

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使用图形神经网络进行多分辨率和多模式特征集成,用于光学一致性断层学图像分类

Nethmi Dissanayake, Tharindu Fernando, Aveesha Gunasekara

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    概括

    使用光学连贯断层扫描 (OCT) 图像准确诊断视网膜疾病,通过一种新的方法得到了改进. 这种方法有效地融合了多模式特征,增强了微妙异常的检测,以便更好地分类.

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    相关概念视频

    Imaging Biological Samples with Optical Microscopy01:18

    Imaging Biological Samples with Optical Microscopy

    Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
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    Computed Tomography01:10

    Computed Tomography

    Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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    Classification of Signals

    In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
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