Developments in Artificial Intelligence and Advanced Medical Imaging in Cancers
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Methods and Technologies Development".
Deadline for manuscript submissions: 30 October 2024 | Viewed by 1207
Special Issue Editor
Interests: magnetic resonance imaging; ultrasound; computed tomography; oncology; biomarkers; hepatocellular carcinoma; liver radiomics; artificial intelligence; machine learning; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Medical imaging plays a pivotal role in many steps of oncologic patient management, from diagnosis to follow-up. The different domains of radiology oncologic imaging are the most suited to the implementation of new software and hardware technologies. In recent decades, several potential applications of artificial intelligence have been investigated, demonstrating remarkable effects in the diagnosis, prognosis, and assessment of response to therapy. The increasing number of AI-based software approved for clinical practice demonstrates the need for radiologists to be fully aware of the opportunities and challenges presented by these new technologies. Similarly, the increasing availability of new hardware technologies such as photon-counting CT, ultra-high-field MRI or ultra-high-frequency US, is rapidly transforming the imaging landscape. The purpose of this Special Issue is to collect papers addressing the latest advances in oncology medical imaging, both in terms of the impending integration of AI into the radiological workflow and the new hardware technologies with their outstanding diagnostic capabilities.
Prof. Dr. Dania Cioni
Guest Editor
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 short 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.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- oncologic imaging
- artificial intelligence
- machine learning
- deep learning
- radiomics
- photon-counting computed tomography
- spectral computed tomography
- ultra-high-field magnetic resonance imaging
- ultra-high-frequency ultrasound
