Application of predictive model based on CT radiomics and machine learning in diagnosis for occult locally advanced esophageal squamous cell carcinoma before treatment: A two-center study

Purpose: Development and validation of a radiomics model for predicting occult locally advanced esophageal squamous cell carcinoma (LA-ESCC) on computed tomography (CT) radiomic features before implementation of treatment. Methods: The study retrospectively collected 574 patients with esophageal squ...

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Автори:	Shu-Han Xie, Wan-Fei Zhang, Yue Wu, Zi-Lu Tang, Li-Tao Yang, Yun-Jing Xue, Jiang-Bo Lin, Ming-Qiang Kang
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Elsevier 2024-09-01
Серія:	Translational Oncology
Предмети:	Radiomics Machine learning Multilayer perceptron Occult locally advanced ESCC Nomogram
Онлайн доступ:	http://www.sciencedirect.com/science/article/pii/S1936523324001773
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