Advances in Signal and Image Processing for Biomedical Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 5040
Special Issue Editors
Interests: computer vision; surgical robots; medical image processing
Special Issues, Collections and Topics in MDPI journals
Interests: multi-agent reinforcement learning and applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to highlight recent advances in signal and image processing techniques in medical applications. Over the past decade, deep learning techniques have revolutionized the processing of signals, images, and videos. Deep-learning-based algorithms have achieved great success, especially in natural language processing and tasks related to image and vision, such as classification, recognition, detection, segmentation, and reconstruction. The progress in deep learning technology is largely driven by the improvement of computing power (especially parallel computing power) and the convenience of building large-scale training data sets with the Internet. However, in the field of medical applications, deep learning still faces many challenges, mainly including: 1) the cost of medical data collection and labeling is high; 2) the data volume of medical data (e.g., high-resolution CT) is large, which usually requires more efficient processing algorithms; and 3) the black-box nature of deep learning methods leads to their lack of interpretability in medical tasks, and it is difficult to gain the trust of doctors, regulators and patients.
This Special Issue welcomes all recent research works in signal and image processing for applications in medicine, especially those that fuse traditional and deep learning techniques, unsupervised or self-supervised methods, and interpretable deep learning models built for medical purposes. Potential topics in this collection include, but are not limited to, the following topics:
- Medical image (e.g., CT, MRI, ultrasound) processing
- Surgical vision (applications of computer vision in surgery)
- Medical signal processing
- Medical image reconstruction
- Medical image classification, detection, localization and segmentation
- Intelligent diagnostic system based on medical signals, image and data
Dr. Bo Yang
Dr. Bo Jin
Prof. Dr. Xiaoyan Chen
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.
