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Updated: Jan 13, 2026

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
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一个多中心的深度学习框架,整合了放射学和视觉变压器,用于从超声波成像中进行全面的卵巢瘤分析

Xujiao Ji1, Caier Liu1, Jing Hu1

  • 1Department of Gynecology, First Hospital of Shanxi Medical University, No.85, Jiefang South Road, Taiyuan, 030000, Shanxi Province, China.

European journal of medical research
|January 11, 2026
PubMed
概括

这项研究开发了使用超声波图像进行卵巢瘤分析的深度学习管道. 人工智能模型准确地细分瘤,分类类型,并预测患者的生存率,帮助个性化癌症护理.

关键词:
深度学习是一种深度学习.图像细分 图像细分 图像细分卵巢瘤是发生在卵巢中的.预测 预后 预测 预测无线电学 (Radiomics) 是一种辐射学.超声波学 超声波学 超声波学

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