Table 1_Machine learning-based differentiation of lung squamous cell carcinoma and adenocarcinoma using clinical-semantic and radiomic features.docx

Table 1_Machine learning-based differentiation of lung squamous cell carcinoma and adenocarcinoma using clinical-semantic and radiomic features.docx

Purpose<p>To evaluate and compare the predictive performance of machine learning methods using clinical-semantic, radiomic, and combined features in distinguishing squamous cell carcinoma (SCC) from adenocarcinoma (ADC) in non-small cell lung cancer (NSCLC).</p>Methods<p>A total of...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Yanju Li (9697993) (author)
مؤلفون آخرون: Xiaomeng Yang (702951) (author), Yingjin Zhang (20532682) (author), Jing Liang (32441) (author), Jiaxin Liu (833821) (author), Xinru Zheng (16801562) (author), Jing Wang (6206297) (author), Zhaoxiang Ye (4468483) (author)
منشور في: 2025
الموضوعات:
Oncology and Carcinogenesis not elsewhere classified
squamous cell carcinoma
adenocarcinoma
radiomics
machine learning
computed tomography
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة

مواد مشابهة