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Updated: Jul 14, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
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动态对比增强的MRI测绘血管透性,用于评估乳腺癌的新辅助化疗反应,使用图像对图像条件生成对抗网络

Chad A Arledge1, Alan H Zhao2, Umit Topaloglu3,4

  • 1Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.

medRxiv : the preprint server for health sciences
|September 16, 2024
PubMed
概括

这项研究引入了一种新的AI方法,使用条件生成对抗网络 (cGAN) 来从DCE-MRI扫描中快速创建详细的瘤血管透性图. 这种人工智能方法可以准确预测乳腺癌患者的治疗反应,显著加快分析速度.

关键词:
动态对比增强 (DCE) 的MRI.乳腺癌 乳腺癌 乳腺癌图像对图像条件生成对抗网络 (cGAN).新辅助化疗 (NACT) 的使用.血管透性的血管透性

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