Application of Computer Vision in Biomedicine
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: 20 September 2026 | Viewed by 166
Special Issue Editors
Interests: time-lapse microscopy; cell migration; computer vision
Interests: computational biomedicine; machine learning; applied mathematics; computational image processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computer vision methods have undergone remarkable advances over the past decade, delivering robust and reliable approaches for extracting meaningful insights from images and videos. The progress in machine learning and imaging platforms now enables automated analysis at previously unattainable scales and levels of precision. In biomedicine, computer vision has become a key technology, supporting both basic research and clinical applications across a wide range of imaging modalities, from microscopy and histopathology to radiology and in vivo imaging.
This Special Issue focuses on the application of computer vision techniques in biomedicine, with an emphasis on the analysis of complex biomedical imaging datasets. Contributions address state-of-the-art methods for detection, segmentation, tracking, and quantification of biological structures and processes, as well as the extraction of image-derived biomarkers. Together, these works highlight how computer vision can enhance data-driven discovery, improve diagnostic and prognostic capabilities, and support precision medicine.
Dr. Diego Ulisse Pizzagalli
Dr. Nektarios Valous
Guest Editors
Dr. Raffaella Fiamma Cabini
Guest Editor Assistant
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 250 words) can be sent to the Editorial Office for assessment.
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. Applied Sciences 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 2400 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
- bioimage analysis
- computer vision
- image biomarkers
- radiomics
- computer-assisted image analysis
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.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
