Advances in Brain Tumor Diagnosis: Innovations and Emerging Technologies

A special issue of Biomedicines (ISSN 2227-9059).

Deadline for manuscript submissions: 30 April 2025 | Viewed by 39

Special Issue Editor


E-Mail Website
Guest Editor
Operational Research Centre in Healthcare, Department of Biomedical Engineering, Near East University, Nicosia, Cyprus
Interests: AI-driven diagnostic tools; biomedical artificial intelligence; cancer detection algorithms; convolutional neural networks (CNNs); deep learning in healthcare; healthcare data analysis; interdisciplinary healthcare research; medical imaging analysis; precision medicine; transformer models in diagnostics

Special Issue Information

Dear Colleagues,

This Special Issue, titled “Advances in Brain Tumor Diagnosis: Innovations and Emerging Technologies”, will collate cutting-edge research and comprehensive reviews focused on novel diagnostic methods for brain tumors. With the increasing application of artificial intelligence, machine learning, and advanced imaging technologies, the Special Issue aims to highlight the progress made in early detection, classification, and prognostication of brain tumors, including gliomas, meningiomas, and other neuro-oncological conditions.

We invite submissions that explore the integration of deep learning, medical imaging analysis, predictive modeling, and multi-modal data fusion for precise and reliable diagnostics. Topics may include (but are not limited to) innovative AI architectures, clinical data integration, and digital pathology approaches that enhance the accuracy of diagnosis and supports clinicians in their decision making. Additionally, contributions addressing challenges such as data scarcity, model interpretability, and clinical translation are highly welcome. This Special Issue aspires to provide a comprehensive overview of current advancements and offer a roadmap for future breakthroughs in brain tumor diagnostics, ultimately supporting better patient outcomes and personalized treatment pathways.

Dr. Mubarak Taiwo Mustapha
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.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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

  • brain tumor diagnosis
  • artificial intelligence in oncology
  • deep learning in medical imaging
  • machine learning models
  • predictive analytics in healthcare
  • digital pathology
  • glioma detection
  • multi-modal data integration
  • neuro-oncology
  • precision medicine

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Published Papers

This special issue is now open for submission.
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