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在使用UNet+的磁共振成像中对肝脏瘤进行细分的深度学习方法

Jing Wang1, Yanyang Peng2, Shi Jing3

  • 1Department of General medicine, The First Medical Center Department of Chinese PLA General Hospital, Peking, 100039, China.

BMC cancer
|November 4, 2023
PubMed
概括

使用UNet++的深度学习在MRI扫描上准确地细分肝脏瘤和正常肝脏组织. 这种自动化方法显著提高了放射性和深度学习分析的划分效率.

关键词:
深度学习是一种深度学习.肝细胞癌 肝细胞癌磁共振成像技术 磁共振成像技术无线电学 (Radiomics) 是一种辐射学.分段化 分段化 分段化 分段化在UNet++++中使用.

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