Prediction of <scp>COVID</scp> ‐19 patients in danger of death using radiomic features of portable chest radiographs-Reference-Cited by-同舟云学术

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Prediction of COVID ‐19 patients in danger of death using radiomic features of portable chest radiographs

Published:2022-11-05 Issue:1 Volume:70 Page:13-20
ISSN:2051-3895
Container-title:Journal of Medical Radiation Sciences
language:en
Short-container-title:J of Medical Radiation Sci

Author:

Nakashima Maoko¹,Uchiyama Yoshikazu²^ORCID,Minami Hirotake³,Kasai Satoshi⁴

Affiliation:

1. Graduate School of Health Sciences Kumamoto University Kumamoto Japan

2. Department of Medical Image Sciences, Faculty of Life Sciences Kumamoto University Kumamoto Japan

3. Konica Minolta, Inc. Tokyo Japan

4. Department of Radiological Technology Niigata University of Health and Welfare Niigata Japan

Funder

Japan Society for the Promotion of Science

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmrs.631

Reference36 articles.

1. Computer-aided diagnosis in medical imaging: Historical review, current status and future potential

2. Computerized analysis of images in the detection and diagnosis of breast cancer

3. Multimodality CAD Systems for Breast Cancer

4. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

5. Computer-aided detection of COVID-19 from X-ray images using multi-CNN and Bayesnet classifier

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. A Joint Classification Method for COVID-19 Lesions Based on Deep Learning and Radiomics;Tomography;2024-09-05

2. Multi-task localization of the hemidiaphragms and lung segmentation in portable chest X-ray images of COVID-19 patients;DIGITAL HEALTH;2024-01

3. Clinical Implication and Prognostic Value of Artificial-Intelligence-Based Results of Chest Radiographs for Assessing Clinical Outcomes of COVID-19 Patients;Diagnostics;2023-06-16

4. Radiomics analysis in medical imaging research;Journal of Medical Radiation Sciences;2023-02-10

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