Data Sheet 1_Integrating multimodal features to predict the malignancy of pulmonary ground−glass nodules: a multicenter prospective model development and validation study.docx

Background<p>There is a clinical need for accurate noninvasive evaluation of the malignancy of pulmonary ground−glass nodules (GGNs) to reduce risks of overdiagnosis and overtreatment. This study aimed to develop and validate a clinic-biomarker-combined deep radiomic model for the prediction o...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Yuanhui Wei (17723792) (author)
مؤلفون آخرون:	Wei Zhao (14321) (author), Zhen Wu (358187) (author), Nannan Guo (451232) (author), Miaoyu Wang (12425043) (author), Hang Yu (278278) (author), Zirui Wang (8783819) (author), Wenjia Shi (4726887) (author), Xiuqing Ma (5808719) (author), Chunsun Li (499031) (author), Jiabo Ren (20912480) (author), Yue Yin (320688) (author), Shangshu Liu (20912483) (author), Zhen Yang (107412) (author), Liang-an Chen (20912486) (author)
منشور في:	2025
الموضوعات:	Oncology and Carcinogenesis not elsewhere classified lung cancer ground-glass nodule (GGN) predictive model multimodality radiomics triosephosphate isomerase-1 MicroRNA-206
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Data Sheet 1_Integrating multimodal features to predict the malignancy of pulmonary ground−glass nodules: a multicenter prospective model development and validation study.docx

مواد مشابهة