Abdominal radiology (New York)
A CT-based 2.5D deep learning model for preoperative T-staging in gastric cancer: a retrospective multicenter study.
Ying Liu, Xiao Zhang, Wangyang He, Yang Li, Fubi Hu
Published: 202510.1007/s00261-025-05286-z
Abstract
PURPOSE: To develop and validate a 2.5D multi-angle deep learning (MADL) model for preoperative T-staging in patients with gastric cancer (GC) and to explore the predictive potential for survival outcome. MATERIALS AND METHODS: In this retrospective…
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