AI-Powered New Imaging Strategies for Pediatric Brain Tumor Diagnosis
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Therapy".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 112
Special Issue Editors
Interests: neuro-oncology; imaging; MRI/CT; MRT-gesteuerte minimal invasive thermoablation
Interests: MRI; glioma; glioblastoma
Special Issue Information
Dear Colleagues,
We are excited to announce the call for submissions to this Special Issue of Cancers, focusing on AI-powered new imaging strategies for pediatric brain tumor diagnosis. Pediatric brain tumors pose unique challenges in diagnosis and treatment, requiring innovative imaging techniques and advanced computational methods to improve accuracy and efficiency.
This Special Issue aims to gather cutting-edge research and advancements in the field of pediatric brain tumor diagnosis, specifically focusing on the integration of artificial intelligence (AI) and machine learning (ML) algorithms with imaging technologies. We invite the submission of original research articles and reviews that explore various aspects of this rapidly evolving field, including, but not limited to, the following:
- Development and validation of AI-based algorithms for pediatric brain tumor detection and classification;
- Integration of multimodal imaging, such as MRI, CT and PET, with AI techniques for enhanced diagnostic accuracy;
- Exploration of deep learning models for automated segmentation and quantification of pediatric brain tumors;
- Utilization of AI-powered imaging strategies for the treatment planning and monitoring of pediatric brain tumor patients;
- Ethical considerations and challenges in implementing AI technologies for pediatric brain tumor diagnosis.
All submitted articles will undergo a rigorous peer review process to ensure the highest scientific quality and relevance to the field. We encourage contributions from researchers, clinicians and experts in the field of medical imaging, pediatric oncology and artificial intelligence.
By harnessing the power of AI and advanced imaging technologies, we aim to revolutionize the diagnosis and management of pediatric brain tumors, ultimately improving patient outcomes and the quality of life. Your valuable contributions to this Special Issue will play a crucial role in advancing our understanding and application of AI in pediatric brain tumor diagnosis.
Should you have any questions, require further information or need any assistance, please do not hesitate to reach out to us. We are here to support and facilitate your participation in this Special Issue.
Thank you for your attention to this matter, and we eagerly await your valuable submissions.
Dr. Georg Gohla
Guest Editor
Dr. Till-Karsten Hauser
Dr. Christer Ruff
Co-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.
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
- pediatric brain tumors
- imaging strategies
- artificial intelligence
- diagnosis
- machine learning
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