Deep Learning Radiomics Features of Mediastinal Fat and Pulmonary Nodules on Lung CT Images Distinguish Benignancy and Malignancy

Deep Learning Radiomics Features of Mediastinal Fat and Pulmonary Nodules on Lung CT Images Distinguish Benignancy and Malignancy

This study investigated the relationship between mediastinal fat and pulmonary nodule status, aiming to develop a deep learning-based radiomics model for diagnosing benign and malignant pulmonary nodules. We proposed a combined model using CT images of both pulmonary nodules and the fat around the c...

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Bibliographic Details
Main Authors: Hongzhuo Qi, Qifan Xuan, Pingping Liu, Yunfei An, Wenjuan Huang, Shidi Miao, Qiujun Wang, Zengyao Liu, Ruitao Wang
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Biomedicines
Subjects:
pulmonary nodules
nomogram
mediastinal fat
benign
malignant
deep learning
Online Access:https://www.mdpi.com/2227-9059/12/8/1865

Internet

https://www.mdpi.com/2227-9059/12/8/1865

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