Auxiliary Diagnosis of Pulmonary Nodules’ Benignancy and Malignancy Based on Machine Learning: A Retrospective Study
Wanling Wang,1 Bingqing Yang,2 Huan Wu,1 Hebin Che,1 Yue Tong,1 Bozun Zhang,1 Hongwu Liu,3,* Yuanyuan Chen1,* 1Medical Innovation Research Department of PLA General Hospital, Beijing, People’s Republic of China; 2Goodwill Hessian Health Technology Co. Ltd, Beijing, People’s R...
Saved in:
Main Authors: | Wang W, Yang B, Wu H, Che H, Tong Y, Zhang B, Liu H, Chen Y |
---|---|
Format: | Article |
Language: | English |
Published: |
Dove Medical Press
2025-06-01
|
Series: | Journal of Multidisciplinary Healthcare |
Subjects: | |
Online Access: | https://www.dovepress.com/auxiliary-diagnosis-of-pulmonary-nodules-benignancy-and-malignancy-bas-peer-reviewed-fulltext-article-JMDH |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
DCAI: a dual cross-attention integration framework for benign-malignant classification of pulmonary nodules
by: Shuling Wang, et al.
Published: (2025-07-01) -
Research on the application of distinguishing between benign and malignant breast nodules using MRI and US radiomics
by: Yifan Liu, et al.
Published: (2025-07-01) -
Optimization of a diagnostic algorithm for benign breast nodules
by: T. E. Usmanova, et al.
Published: (2016-06-01) -
OM‐85, a Bacterial Lysate, Reduces Pulmonary Nodule Malignant Probability: A Retrospective Study
by: Mengting Sun, et al.
Published: (2025-07-01) -
Minimally Invasive Treatment of Benign Thyroid Nodules
by: G. T. Gumerova, et al.
Published: (2022-06-01)