Evaluation of the invasiveness of pure ground-glass nodules based on dual-head ResNet technique

Abstract Objective To intelligently evaluate the invasiveness of pure ground-glass nodules with multiple classifications using deep learning. Methods pGGNs in 1136 patients were pathologically confirmed as lung precursor lesions [atypical adenomatous hyperplasia (AAH) and adenocarcinoma in situ (AIS...

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Hlavní autoři:	Dengfa Yang, Yang Yang, MinYi Zhao, Hongli Ji, Zhongfeng Niu, Bo Hong, Hengfeng Shi, Linyang He, Meihua Shao, Jian Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	BMC 2024-09-01
Edice:	BMC Cancer
Témata:	Deep learning Tumor invasiveness Pure ground-glass nodule Computed tomography
On-line přístup:	https://doi.org/10.1186/s12885-024-12823-4
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