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使用机器学习预测胆道神经的恶性转变.

Sabrina P Iddir1, Jacob Love2, Jiechao Simon Ma3

  • 1Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago.

Research square
|January 10, 2024
PubMed
概括

一个机器学习算法使用多式成像技术准确地识别出皮膜黑色素瘤 (UM) 的风险因素. 这种非侵入性工具有助于诊断胸腔瘤和预测恶性转变,可能挽救生命.

关键词:
人工智能的人工智能冠状腺神经 (Choroidal Nevus) 是一个神经系统.机器学习 机器学习恶性转变 恶性转变在Uveal黑色素瘤.

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