Clinical and Experimental Application of Artificial Intelligence in Neuro-Oncology Imaging
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Methods and Technologies Development".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 400
Special Issue Editors
2. Institute for Diagnostic and Interventional Radiology, Caritas-Hospital, DE-97980 Bad Mergentheim, Germany
Interests: radiomics; neuroradiology; artificial intelligence
Interests: artificial intelligence; machine learning; deep learning; radiomics; neuro-oncology; glioma; meningioma
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) has the potential to make an enormous impact on medicine, especially in medical imaging. Although, until now, there have only been a few AI applications that have received approval for clinical use, various areas of research, including but not limited to image acquisition and processing and image interpretation tasks, are under investigation.
Since, according to the definition of radiomics, radiological data contain more information than is visible to human perception, novel AI methods are necessary to achieve deeper image analysis based on multidimensional image features. This Special Issue focuses on experimental and clinical applications of AI methods in neuro-oncology imaging and aims at collecting original research, reviews, meta-analyses, and letters analyzing the value of AI applications and their potential clinical implementation and discussing the pros and cons of advanced, computer-aided solutions in radiology. Thank you for considering publishing in this Special Issue.
Prof. Dr. Manoj Mannil
Dr. Burak H. Akkurt
Dr. Hermann Krähling
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- machine learning
- deep learning
- radiomics
- neuro-oncology
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