机器学习用于区分肺状细胞癌与腺癌,使用临床代谢特征和18F-FDG PET/CT放射学

Yalin Zhang1,2, Huiling Liu3, Cheng Chang4

  • 1Department of Radiation Oncology, The Third Affillated Teaching Hospital of Xinjiang Medical University, Affilated Cancer Hospital, Urumuqi, China.

PloS one
|April 3, 2024
PubMed
概括

一种新的放射学模型可以非侵入性地区分肺癌亚型,帮助那些无法接受侵入性手术的患者. 组合模型在分类状细胞癌和腺癌方面表现优越.

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