기본 정보
연구 분야
프로젝트
논문
구성원
article|
gold
·인용수 1
·2025
Machine learning-based differentiation of benign and malignant adrenal lesions using 18F-FDG PET/CT: a two-stage classification and SHAP interpretation study
Yun Wang, Youwu Su, Jing Li, Dong Xie, Zhuolin Liu, Yukun Cai, Changyu Sun, Jingjing Zhang, Jaesik Jeong, Heqing Yi, Ye Yuan
BMC Cancer
초록

Machine learning models based on PET/CT-derived features enable highly accurate and interpretable classification of adrenal lesions. Integrating metabolic and anatomical parameters improves diagnostic precision, while SHAP analysis offers clinical transparency, supporting personalized decision-making in adrenal lesion management.

키워드
Interpretation (philosophy)Surgical oncologyLesionAdrenal disorderFeature (linguistics)
타입
article
IF / 인용수
- / 1
게재 연도
2025

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