Advances in Medical Imaging for Cancer Detection and Diagnosis

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

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