AI Transparency in Digital Pathology
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Pathology and Molecular Diagnostics".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 236
Special Issue Editors
Interests: pattern recognition; biomedical engineering; EEG; MEG; brain networks
Special Issue Information
Dear Colleagues,
In recent years, machine learning (ML) and deep learning (DL) have permeated the digital pathology field. ML and DL tools specifically developed for whole-slide image (WSI) analysis may enhance the diagnostic process in many fields of human pathology and allow for more consistent results, providing valid support for detecting multiple biomarkers that expert pathologists miss.
Despite all these advantages and promising results, the introduction of these tools in clinical practice needs to be revised. The reproducibility of DL models applied to WSI analysis and the absence of explainability and interpretability of these models, which appear as “black boxes”, represent crucial points, and often a barrier, for the transition from research to clinical workflows. It is time to rethink the approach of artificial intelligence to pathology, aiming to reach high levels of reproducibility and explainability.
This Special Issue aims to cover recent advances in digital pathology by collecting papers that make proposals of a high-quality, robust, easy-to-use, and transparent processing pipeline, which can help ensure the validity and the explainability of AI models applied to histopathology in clinical workflows.
Dr. Matteo Fraschini
Dr. Gavino Faa
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. Diagnostics 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 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
- digital pathology
- artificial intelligence
- explainability
- reproducibility
- whole-slide image
- feature extraction
- deep learning
- machine learning
- image analysis
