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 296

Special Issue Editors


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Guest Editor
1. Department of Radiology, University Hospital Muenster, DE-48149 Muenster, Germany
2. Institute for Diagnostic and Interventional Radiology, Caritas-Hospital, DE-97980 Bad Mergentheim, Germany
Interests: radiomics; neuroradiology; artificial intelligence

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Guest Editor
Department of Radiology, University Hospital Muenster, DE-48149 Muenster, Germany
Interests: artificial intelligence; machine learning; deep learning; radiomics; neuro-oncology; glioma; meningioma

E-Mail Website
Guest Editor
Department of Radiology, University Hospital Muenster, DE-48149 Muenster, Germany
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

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

  • artificial intelligence
  • machine learning
  • deep learning
  • radiomics
  • neuro-oncology

Published Papers

This special issue is now open for submission.
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