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...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Shu-Han Xie, Wan-Fei Zhang, Yue Wu, Zi-Lu Tang, Li-Tao Yang, Yun-Jing Xue, Jiang-Bo Lin, Ming-Qiang Kang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Elsevier 2024-09-01
Saila:	Translational Oncology
Gaiak:	Radiomics Machine learning Multilayer perceptron Occult locally advanced ESCC Nomogram
Sarrera elektronikoa:	http://www.sciencedirect.com/science/article/pii/S1936523324001773
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!