Advances in Medical Imaging for Cancer Detection and Diagnosis
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Causes, Screening and Diagnosis".
Deadline for manuscript submissions: 7 November 2025 | Viewed by 567
Special Issue Editors
Interests: visual search; image perception; artificial intelligence
Special Issue Information
Dear Colleagues,
Cancer accounts for nearly 10 million annual deaths worldwide, making it a leading cause for mortality. Moreover, the estimated global economic costs of cancers from 2020 to 2050 is $25.2 trillion international dollars1. This is equivalent to an annual tax of 0.55% on the global domestic product1. Medical imaging is a key component of early cancer detection and diagnosis, being it in the form of radiological images, in the form of histopathological or cytopathological images, etc. Screening programs that are based on imaging worldwide have shown the importance of radiology in early-stage cancer detection. Furthermore, digitization in pathology has allowed for collaborations across continents and for the development of computer aid in that domain.
In this Special Issue, we are seeking to determine new imaging techniques, as well as applications of Artificial Intelligence (AI) and Machine Learning (ML), for cancer detection and diagnosis. Applications are sought for (but are not limited to) the following areas:
- Photon-counting CT applications and developments;
- Radiomics;
- AI and ML applications;
- Collaborative CAD/AI;
- Computational Pathology;
- Multimodality imaging of cancer, especially in vivo;
- Emerging cancer imaging modalities.
Reference
1. Chen S et al. JAMA Oncology 2023; 9(4):465-472.
Dr. Claudia R. Mello-Thoms
Dr. Mark Anastasio
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.
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Keywords
- photon-counting CT applications and developments
- radiomics
- AI and ML applications
- collaborative CAD/AI
- computational pathology
- multimodality imaging of cancer, especially in vivo
- emerging cancer imaging modalities
- cancer imaging
- machine learning
- artificial intelligence
- medical imaging
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