Digital Pathology in Precision Oncology: Emerging Tools for Diagnosis and Treatment Guidance
This special issue belongs to the section "Oncology".
Special Issue Information
Dear Colleagues,
We are pleased to announce the forthcoming Special Issue of Cancers, entitled Digital Pathology in Precision Oncology: Emerging Tools for Diagnosis and Treatment Guidance. This Special Issue will focus on the transformative impact of artificial intelligence (AI) and advanced computational methodologies on biomedical diagnostics and treatment-related decision-making.
As Guest Editors, we are pleased to invite researchers, clinicians, and thought leaders from oncology, pathology, and related disciplines to contribute original research articles, comprehensive reviews, and case-based reports.
This Special Issue seeks to showcase pioneering work that applies AI algorithms, machine learning models, and computational pathology tools to precision oncology. We look forward to receiving your contributions, which will aid in advancing the scientific discourse in and shaping the future of precision oncology.
You may choose our Joint Special Issue in Cancers.
Dr. Daniela Hartmann
Dr. Maximilian Deussing
Guest Editors
Manuscript Submission Information
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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. Diseases is an international peer-reviewed open access monthly 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 1800 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
- oncology
- digital pathology
- ex vivo confocal microscopy
- artificial intelligence
- machine learning
- virtual biopsy
- teledermatology
- histopathological images
- image analysis algorithms
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Published Papers
Diseases - ISSN 2079-9721