The Roles of Deep Learning in Cancer Radiotherapy
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Informatics and Big Data".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 61
Special Issue Editor
Special Issue Information
Dear Colleagues,
The incorporation of deep learning into cancer radiotherapy signifies a groundbreaking evolution in oncology. By harnessing advanced algorithms and extensive datasets, deep learning models can significantly enhance the precision and efficiency of radiation treatments, including tumor detection, treatment target and critical organs delineation, treatment planning, quality assurance, and patient-outcome prediction. This Special Issue aims to delve into diverse applications of deep learning in radiotherapy, showcasing how these technologies can revolutionize cancer treatment. We welcome original research articles, reviews, and clinical studies that present innovative deep learning applications in radiotherapy, such as tumor detection, tumor and organ segmentation, treatment planning, dose prediction, and adaptive radiotherapy. We are particularly interested in contributions that illustrate the impact of deep learning on clinical workflows and patient outcomes. Potential topics include, but are not limited to, the following:
- Deep learning algorithms for tumor detection;
- Deep learning algorithms for tumor and organ segmentation;
- Artificial Intelligence driven automatic treatment planning;
- Predictive modeling of radiotherapy outcomes;
- Adaptive radiotherapy guided by deep learning;
- Integration of radiomics and deep learning in oncology;
- Deep learning algorithms for quality assurance procedures;
- Clinical validation of AI-driven radiotherapy tools;
- Challenges and solutions in implementing deep learning in clinical practice.
We eagerly anticipate your contributions that showcase the innovative applications of deep learning in advancing cancer radiotherapy.
Dr. Zhen Tian
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 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
- radiotherapy
- deep learning
- artificial Intelligence
- tumor detection
- image segmentation
- treatment planning
- outcome prediction
- radiomics
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
