Special Issue

Topic: Artificial Intelligence and Medical Imaging in Cancer

A Special Issue of Journal of Cancer Metastasis and Treatment

ISSN 2454-2857 (Online) 2394-4722 (Print)

Submission deadline: 15 Mar 2026

Guest Editor

Prof. Vijayakumar Varadarajan
EAI FELLOW, School of Engineering, Diponegoro University, Semarang, Indonesia and SSBM, Geneva, Switzerland.

Assistant Guest Editors

Prof. Tao Zhang
School of Electrical and Information Engineering, Tianjin University, Tianjin, China.
Prof. Peter Appiahene
Department of Information Technology and Decision Sciences, University of Energy and Natural Resources, Sunyani, Ghana.
Dr. Yanzhang Geng
School of Electrical and Information Engineering, Tianjin University, Tianjin, China.

Special Issue Introduction

Medical imaging plays a vital role in the detection, diagnosis, treatment planning, and research of cancer. Despite significant technological advances, challenges such as early detection, accurate diagnosis, and precise tumor characterization persist. These difficulties often stem from limitations in spatial resolution and sensitivity, variability in image quality, and the inherent complexity of image interpretation.

 

Artificial intelligence (AI) is transforming cancer imaging by enhancing image acquisition, reconstruction, analysis, and diagnostic accuracy. AI enables faster data acquisition, improved signal-to-noise ratios and image contrast, and more reliable predictions for cancer detection, diagnosis, therapy guidance, and prognosis.

 

However, integrating AI into medical imaging presents several key challenges. These include limited and heterogeneous datasets,  inconsistent data quality standards, lack of model interpretability, concerns about bias and generalizability, and various legal and ethical considerations. Overcoming these barriers is essential to fully unlock AI’s potential in advancing cancer care.

 

This Special Issue invites original research articles, reviews, and clinical studies at the intersection of AI and medical imaging, with a focus on both technical innovations and clinical applications. By showcasing cutting-edge developments, this issue aims to accelerate the translation of intelligent imaging technologies into cancer research and clinical practice. We welcome contributions from researchers, clinicians, and industry experts that inspire new directions, foster collaboration, and advance the future of AI-powered cancer imaging. Join us in shaping the next generation of cancer imaging through artificial intelligence.

 

Potential topics:

● AI-driven cancer risk stratification;

● Early cancer detection;

● Treatment response prediction and evaluation;

● Image-guided interventions.

Keywords

Artificial Intelligence (AI), cancer imaging, deep learning, computed tomography, radiomics and radiogenomics, image reconstruction and enhancement, early cancer detection/diagnosis, medical imaging, image-guided interventions, clinical translation of AI, metastasis

Submission Deadline

15 Mar 2026

Submission Information

For Author Instructions, please refer to https://www.oaepublish.com/jcmt/author_instructions
For Online Submission, please login at https://www.oaecenter.com/login?JournalId=jcmt&IssueId=jcmt25072310160
Submission Deadline: 15 Mar 2026
Contacts: Eric Zhang, Assistant Editor, ScienceEditor@oaeservice.com

Published Articles

Coming soon
Journal of Cancer Metastasis and Treatment
ISSN 2454-2857 (Online) 2394-4722 (Print)

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Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/