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核心加权贡献:用于医学成像中的3D深度学习细分的视觉归因方法

Sean Mullan1, Milan Sonka1

  • 1University of Iowa, Iowa Institute for Biomedical Imaging, Iowa City, Iowa, United States.

Journal of medical imaging (Bellingham, Wash.)
|September 11, 2023
PubMed
概括

核心加权贡献为3D医学图像细分模型提供了卓越的视觉解释. 这种方法提高了理解和验证,为医疗保健更广泛采用深度学习工具铺平了道路.

关键词:
归因归因的归因 归因归因的归因深度学习是一种深度学习.解释 解释 解释医学成像医学成像细分化 细分化的细分化

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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.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...