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Updated: Jul 16, 2026

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
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Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

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在2-deoxy-2-fluorodeoxyglucose正子发射断层扫描/计算机断层扫描成像中的淋巴结疾病:人工智能驱动的自动细分和精确诊断方面的进展

Shao-Chun Li1, Xin Fan1, Jian He2

  • 1Department of Nuclear Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, Jiangsu Province, China.

World journal of clinical oncology
|December 8, 2025
PubMed
概括

深度学习增强了淋巴结分析的放射学,提高了检测,细分和3D重建的准确性. 这种人工智能方法有助于诊断,预测治疗反应和对淋巴结疾病的预后评估.

关键词:
自动细分系统 自动细分系统卷积神经网络是一种卷积神经网络.深度学习是一种深度学习.淋巴结转移是淋巴结的转移.淋巴瘤是一种淋巴瘤.医学成像分析分析 医学成像分析无线电学 (Radiomics) 是一种放射学.

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