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Updated: Feb 14, 2026

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评估基于深度学习的人工智能模型的性能,用于使用多中心CT数据集对卵巢瘤进行分类.

Anna H Koch1,2, Cris H B Claessens3, Ingrid Nies1

  • 1Department of Obstetrics and Gynecology and Catharina Cancer Institute, Catharina Hospital, Michelangelolaan 2, 5623 EJ Eindhoven, the Netherlands.

Radiology. Imaging cancer
|February 13, 2026
PubMed
概括

在CT扫描上用于卵巢瘤分类的新型深度学习模型显示性能与美国模型和放射科医生相当. 为了临床使用,需要进一步细化,但它实现了高灵敏度.

关键词:
计算机辅助诊断 计算机辅助诊断多中心试验试验卵巢癌 卵巢癌 卵巢癌卵巢瘤分类的分类

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