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在CT扫描中获得的深度学习分类结果是否公平和可解释?

Mohamad M A Ashames1, Ahmet Demir1, Omer N Gerek2

  • 1Department of Electrical and Electronics Engineering, Eskisehir Osmangazi University, Eskisehir, Turkey.

Physical and engineering sciences in medicine
|April 4, 2024
PubMed
概括

医疗图像分析的深度学习模型在经过患者级数据分离的训练时获得更高的准确性. 这种方法可以防止数据泄露,并确保新患者扫描的性能更好,改善现实世界的可用性.

关键词:
胸部CT CT 的情况.DNNs 是一个 DNN.解释性和可靠性 解释性和可靠性恶性病的分类是恶性病的分类.

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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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