Prediction of benign and malignant ground glass pulmonary nodules based on multi-feature fusion of attention mechanism

Prediction of benign and malignant ground glass pulmonary nodules based on multi-feature fusion of attention mechanism

ObjectivesThe purpose of this study was to develop and validate a new feature fusion algorithm to improve the classification performance of benign and malignant ground-glass nodules (GGNs) based on deep learning.MethodsWe retrospectively collected 385 cases of GGNs confirmed by surgical pathology fr...

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Bibliographic Details
Main Authors: Heng Deng, Wenjun Huang, Xiuxiu Zhou, Taohu Zhou, Li Fan, Shiyuan Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-10-01
Series:Frontiers in Oncology
Subjects:
ground-glass nodule
deep learning
computed tomography (CT)
attention mechanism
feature fusion
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1447132/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2024.1447132/full

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