Multi-Dimension and Multi-Feature Hybrid Learning Network for Classifying the Sub Pathological Type of Lung Nodules through LDCT

Multi-Dimension and Multi-Feature Hybrid Learning Network for Classifying the Sub Pathological Type of Lung Nodules through LDCT

In order to develop appropriate treatment and rehabilitation plans with regard to different subpathological types (PILs and IAs) of lung nodules, it is important to diagnose them through low-dose spiral computed tomography (LDCT) during routine screening before surgery. Based on the characteristics...

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Bibliographic Details
Main Authors: Jiacheng Fan, Jianying Bao, Jianlin Xu, Jinqiu Mo
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
neural network
low-dose spiral computed tomography (LDCT)
lung nodules
sub pathological types classification
Online Access:https://www.mdpi.com/1424-8220/21/8/2734

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