Res-TransNet: A Hybrid deep Learning Network for Predicting Pathological Subtypes of lung Adenocarcinoma in CT Images.

This study aims to develop a CT-based hybrid deep learning network to predict pathological subtypes of early-stage lung adenocarcinoma by integrating residual network (ResNet) with Vision Transformer (ViT). A total of 1411 pathologically confirmed ground-glass nodules (GGNs) retrospectively collecte...

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Bibliographic Details

Published in:	Journal of Digital Imaging Vol. 37; no. 6; pp. 2883 - 2895
Main Authors:	Su, Yue, Xia, Xianwu, Sun, Rong, Yuan, Jianjun, Hua, Qianjin, Han, Baosan, Gong, Jing, Nie, Shengdong
Format:	diagnostic images equations & formulas research tables/charts Journal Article
Published:	Springer Nature Dec2024
Online Access:	View this record in EBSCOhost