Research progress of CT-based deep learning in esophageal cancer
PANG Caifeng
TANG Yuqing
WANG Siyu
LI Rui
Abstract：Esophageal cancer is one of the most common malignant tumors of the digestive system.As a widely used imaging modality,CT plays a crucial role in the diagnosis,treatment,and follow-up of esophageal cancer.Deep learning can automatically extract features from CT images,enabling application in diagnosis,treatment planning,efficacy prediction,and prognosis assessment of esophageal cancer.This review summarizes the research progress of CT-based deep learning techniques in the diagnosis and treatment of esophageal cancer.
Keywords：Esophageal cancerDeep learningTomographyX-ray computed
Publication Date：2025-07-15
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 448-453 )