双对抗性解混自动编码器用于从多中心和多扫描仪放射学数据中联合删除批量效应

Lara Cavinato1, Michela Carlotta Massi2, Martina Sollini3,4

  • 1MOX, Department of Mathematics, Politecnico di Milano, Piazza Leonardo da Vinci, 32, Milan, 20133, Italy. lara.cavinato@polimi.it.

Scientific reports
|November 2, 2023
PubMed
概括

这项研究引入了一种新的算法,用于协调来自多个中心的医疗成像数据,用于霍奇金淋巴瘤患者. 该方法有效地减少了扫描器特定的噪音,并提高了预后模型的准确性,有助于临床决策.

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