Performance Analysis in Children of Traditional and Deep-Learning CT Lung Nodule Computer-Aided Detection Systems Trained on Adults-Reference-Cited by-同舟云学术

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Performance Analysis in Children of Traditional and Deep-Learning CT Lung Nodule Computer-Aided Detection Systems Trained on Adults

Published:2023-11-22 Issue: Volume: Page:
ISSN:0361-803X
Container-title:American Journal of Roentgenology
language:en
Short-container-title:American Journal of Roentgenology

Author:

Hardie Russell C.¹,Trout Andrew T.²³⁴,Dillman Jonathan R.²³,Narayanan Barath N.⁵,Tanimoto Aki A.²³

Affiliation:

1. Department of Electrical and Computer Engineering, University of Dayton, Dayton Ohio USA 45469

2. Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati Ohio USA 45229-3026

3. Department of Radiology, University of Cincinnati College of Medicine, Cincinnati Ohio USA 45267

4. Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati Ohio USA 45267

5. University of Dayton Research Institute, Sensor and Software Systems, 1700 South Patterson Blvd., Dayton Ohio USA 45469

Publisher

American Roentgen Ray Society

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference32 articles.

1. Developmental origins and emerging therapeutic opportunities for childhood cancer

2. The Major Causes of Death in Children and Adolescents in the United States

3. Primary and Metastatic Lung Tumors in the Pediatric Population: A Review and 25-Year Experience at a Large Children's Hospital

4. Computer-Aided Detection in Screening CT for Pulmonary Nodules

5. Effect of CAD on Radiologists' Detection of Lung Nodules on Thoracic CT Scans: Analysis of an Observer Performance Study by Nodule Size

Cited by 4 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. Applications of Artificial Intelligence for Pediatric Cancer Imaging;American Journal of Roentgenology;2024-08

2. The Quest for the Application of Artificial Intelligence to Whole Slide Imaging: Unique Prospective from New Advanced Tools;Algorithms;2024-06-10

3. Revolutionizing Pulmonary Diagnostics: A Narrative Review of Artificial Intelligence Applications in Lung Imaging;Cureus;2024-04-05

4. Editor's Notebook: February 2024;American Journal of Roentgenology;2024-02

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