Computer-Vision-Based Biomedical Image Processing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 January 2025 | Viewed by 322
Special Issue Editors
Interests: computer vision; deep learning; medical computer vision
Special Issues, Collections and Topics in MDPI journals
Interests: big data analytics; machine learning; computer vision; IoT; smart grids; distributed system; software engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computer vision has a rich history spanning decades of efforts towards enabling computers to perceive visual stimuli meaningfully. Machine perception covers a range of levels, from low-level tasks such as identifying edges to high-level tasks such as understanding complete scenes. The growth of modern computer vision has overlapped with the generation of large amounts of digital data in several scientific fields. Large datasets allow computer vision models to acquire varied pattern recognition abilities, ranging from physician-level diagnostics to medical scene perception.
This Special Issue aims to bring together researchers and practitioners from the fields of computer vision and biomedical imaging to showcase cutting-edge developments in computer vision algorithms and their applications in biomedical image processing and digital healthcare. This Special Issue invites original research articles, comprehensive reviews, and insightful case studies that focus on, but are not limited to, the following topics:
- Deep-Learning-Enabled Medical Computer Vision
- Computer-Aided Diagnosis (CAD)
- Imaging Biomarkers
- Biomedical Informatics
- Multi-level Biomedical Data Integration
- Explainable and Trustworthy Computer Vision
- Screening, Early Detection, and Prediction of Future Outcomes
Dr. Grigorios E. Kalliatakis
Dr. Christos Chrysoulas
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. 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
- computer vision
- artificial intelligence
- biomedical image processing
- medical image analysis
- deep learning
- representation learning
- computer-aided detection
- anomaly detection
- biomarkers
- digital healthcare
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.
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices
Author: Watt
Highlights: -The model produced a test accuracy of 78% and a test loss of 1.08. The test data consisted of 1000 images.
-Our model produced a higher accuracy than a similar model developed by Ramlakhan & Shang, who used a smaller dataset.
-However, our model produced a lower accuracy than two similar models using higher spec hardware.
