A Novel Deep Learning Model to Distinguish Malignant Versus Benign Solid Lung Nodules-Reference-Cited by-同舟云学术

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A Novel Deep Learning Model to Distinguish Malignant Versus Benign Solid Lung Nodules

Published:2022-07-21 Issue: Volume:28 Page:
ISSN:1643-3750
Container-title:Medical Science Monitor
language:en
Short-container-title:Med Sci Monit

Author:

Wang Shuwen¹,Zhou Leilei¹,Li Xiaoran²,Tang Jie³,Wu Jing¹,Yin Xindao¹,Chen Yu-Chen¹,Lu Lingquan¹

Affiliation:

1. Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China (mainland)

2. Department of Radiology, Nanjing Gaochun People’s Hospital, Nanjing, Jiangsu, China (mainland)

3. Department of Radiology, The Second Hospital of Nanjing, Nanjing, Jiangsu, China (mainland)

Publisher

International Scientific Information, Inc.

Subject

General Medicine

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Holistic Approach to Implementing Artificial Intelligence in Lung Cancer;Indian Journal of Surgical Oncology;2024-09-05

2. A prediction model based on computed tomography characteristics for identifying malignant from benign sub-centimeter solid pulmonary nodules;Journal of Thoracic Disease;2024-07

3. Comparison of EfficientNet-B0 and Res2Net Models for Distinguishing Malignant and Benign Pulmonary Nodules;2024-05-29

4. A Self-supervised Learning-Based Fine-Grained Classification Model for Distinguishing Malignant From Benign Subcentimeter Solid Pulmonary Nodules;Academic Radiology;2024-05

5. Developing technologies and areas of interest in lung cancer screening adjuncts;Journal of Thoracic Disease;2024-02

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