Tumor Microenvironment, Radiology, and Artificial Intelligence: Should We Consider Tumor Periphery?-Reference-Cited by-同舟云学术

Tumor Microenvironment, Radiology, and Artificial Intelligence: Should We Consider Tumor Periphery?

Published:2022-08-24 Issue:12 Volume:41 Page:3079-3090
ISSN:0278-4297
Container-title:Journal of Ultrasound in Medicine
language:en
Short-container-title:J of Ultrasound Medicine

Author:

Mohammadi Afshin¹,Mirza‐Aghazadeh‐Attari Mohammad²,Faeghi Fariborz³,Homayoun Hasan⁴,Abolghasemi Jamileh⁵,Vogl Thomas J.⁶,Bureau Nathalie J.⁷^ORCID,Bakhshandeh Mohsen³,Acharya Rajendra U.⁸⁹¹⁰,Abbasian Ardakani Ali³^ORCID

Affiliation:

1. Department of Radiology, Faculty of Medicine Urmia University of Medical Science Urmia Iran

2. Medical Radiation Sciences Research Group, Faculty of Medicine Tabriz University of Medical Sciences Tabriz Iran

3. Department of Radiology Technology School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences Tehran Iran

4. Urology Research Center Tehran University of Medical Sciences Tehran Iran

5. Department of Biostatistics School of Public Health, Iran University of Medical Sciences Tehran Iran

6. Department of Diagnostic and Interventional Radiology University Hospital Frankfurt Frankfurt am Main Germany

7. Department of Radiology Centre Hospitalier de l'Université de Montréal Montreal Canada

8. Department of Electronics and Computer Engineering Ngee Ann Polytechnic Singapore

9. Department of Biomedical Engineering School of Science and Technology, SUSS University Singapore

10. Department of Biomedical Informatics and Medical Engineering Asia University Taichung Taiwan

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jum.16086

Reference36 articles.

1. Tumor microenvironment complexity and therapeutic implications at a glance

2. The clinical role of the TME in solid cancer

3. Tissues and Tumor Microenvironment (TME) in 3D: Models to Shed Light on Immunosuppression in Cancer

4. Tumour Stroma Ratio Assessment Using Digital Image Analysis Predicts Survival in Triple Negative and Luminal Breast Cancer

5. Immune cells within the tumor microenvironment: Biological functions and roles in cancer immunotherapy

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