Work

A Multi-Dimensional Deep Ensemble Learning Model Predicts Pathological Response and Treatment Outcomes to Neoadjuvant Chemoradiotherapy in Esophageal Squamous Cell Carcinoma Using Pretreatment CT Images: A Multicenter, Retrospective Cohort Study

Year: 2025

Type: article

Study design: Observational Study

Source: International Journal of Radiation Oncology*Biology*Physics

DOI: 10.1016/j.ijrobp.2025.06.3012

Authors: Y. Liu, Y. Su, P. Jun, W. Zhang, F. Zhao, Y. Li, X.Y. Song, Z. Ma, W. Zhang, J. Ji, Y. Chen, Y. Men, F. Ye, K. Men, J. Qin, W. Liu, X. Wang, N. Bi, L. Xue, W. Yu, Q. Wang, Z. Men, Z. Hui

Institutions: Chinese Academy of Medical Sciences & Peking Union Medical College, Cancer Hospital of Chinese Academy of Medical Sciences, Wenzhou Medical University, University of Electronic Science and Technology of China, Sichuan Cancer Hospital, Tianjin Medical University Cancer Institute and Hospital, Shanghai Jiao Tong University, Shanghai Chest Hospital

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W4414574501

FWCI:

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