Deep Learning in Medical Images for Gastrointestinal Cancers: Advanced Diagnosis and Prediction
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 182
Special Issue Editor
Interests: artificial Intelligence; radiomics; computer-aided diagnosis (CAD) systems; medical imaging
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Gastrointestinal tumors are the most common of the rare non-epithelial neoplasms of the gastrointestinal tract. These tumors are usually classified into four groups of risk, by combining information from physical examination, laboratory tests, imaging, and tissue biopsy. Different treatments are then offered according to the risk. The advent of anatomic and functional diagnostic imaging has improved the non-invasive characterization of tissues and different imaging biomarkers have been recently developed to classify patients’ risk.
The purpose of this Special Issue is to present the most recent innovations in the development of imaging biomarkers based on deep learning algorithms. These imaging biomarkers can exploit both radiological and digital pathological images. We encourage the submission of studies that are aimed at optimizing detection, risk stratification, and the response to treatment of gastrointestinal tumors by developing imaging biomarkers based on different imaging inputs, i.e., radiological and pathological images. We also encourage the submission of multi-omics studies.
Dr. Valentina Giannini
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. 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
- imaging biomarkers
- digital pathology
- radiomics
- GIST
- deep learning algorithms
- virtual biopsy
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.