Digital Pathology Systems Enabling the Quality of Cancer Patient Care

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Pathophysiology".

Deadline for manuscript submissions: 15 December 2024 | Viewed by 106

Special Issue Editor


E-Mail Website
Guest Editor
Institute of Pathology, School of Medicine and Health, Technical University Munich, Ismaninger Straße 22, 81675 Munich, Germany
Interests: digital and computational pathology

Special Issue Information

Dear Colleagues,

We are pleased to invite you to submit your article for this Special Issue of Cancers titled “Digital Pathology Systems Enabling the Quality of Cancer Patient Care”.

This Special Issue aims to highlight current advances in quality-related issues in digital pathology. This includes both digital data generation and data analysis/interpretation. During data generation, digital pathology heavily relies on new measures for quality control and quality assurance. For example, image artifacts occur at every stage of tissue processing, but methods of artificial intelligence might be able to identify and mitigate these issues. Moreover, the effect of artifacts on machine learning methods is not completely known. Data analysis, however, requires its own set of quality measures. AI-assisted pathology data analysis processes will help improve the success rate of a pathology lab and interobserver agreement and deepen our understanding of cancer development and treatment.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: quality control and quality assurance in digital pathology, quality control and assurance in diagnostic procedure using algorithmic approaches, and automated support for clinical pathology and image analysis. The systems can be built from standalone expert models, over larger self-supervised domain models towards extremely large multi-modal foundation models that help in clinical data interpretation.

We look forward to receiving your contributions.

Prof. Dr. Peter J. Schüffler
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.

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

  • digital pathology
  • computational pathology
  • artificial intelligence
  • multimodal AI
  • foundation models
  • quality control
  • quality assurance
  • medical image analysis
  • computer-aided diagnosis
  • integrated digital pathology

Published Papers

This special issue is now open for submission.
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