Integrating patient symptoms, clinical readings, and radiologist feedback with computer-aided diagnosis system for detection of infectious pulmonary disease: a feasibility study-Reference-Cited by-同舟云学术

Integrating patient symptoms, clinical readings, and radiologist feedback with computer-aided diagnosis system for detection of infectious pulmonary disease: a feasibility study

Published:2022-07-02 Issue:9 Volume:60 Page:2549-2565
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Chandra Tej Bahadur^ORCID,Singh Bikesh Kumar^ORCID,Jain Deepak^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11517-022-02611-2.pdf

Reference62 articles.

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2. Chouhan V, Singh SK, Khamparia A, et al (2020) A novel transfer learning based approach for pneumonia detection in chest X-ray images. Appl Sci 10https://doi.org/10.3390/app10020559

3. (2019) Global Tuberculosis Report 2019. In: World Heal. Organ. https://www.who.int/tb/publications/global_report/en/. Accessed 13 Mar 2020

4. (2020) WHO Coronavirus Disease (COVID-19) Dashboard. In: World Heal. Organ. https://covid19.who.int/. Accessed 16 Oct 2020

5. Jorritsma W, Cnossen F, Van Ooijen PMA (2015) Improving the radiologist-CAD interaction: designing for appropriate trust. Clin Radiol 70:115–122. https://doi.org/10.1016/j.crad.2014.09.017

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