Multi-Sensor Fusion in Medical Imaging, Diagnosis and Therapy
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 20 May 2024 | Viewed by 811
Special Issue Editor
Interests: medical image processing; artificial intelligence for medical diagnosis; surgical guidance; surgical robots
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Multi-sensor fusion plays an important role in medical imaging, diagnosis and therapy. Recently, with the advancement of various imaging modalities such as ultrasound, computer tomography (CT), magnetic resonance imaging (MRI) and positron emission tomography (PET), the fusion of various imaging data has aroused wide interest among researchers. Effective fusion algorithms have a significant influence on the quality of fused data, thereby affecting the final diagnosis and therapy. Traditional fusion methods based on sparse representation and multi-scale decomposition have been explored in depth. Deep learning-based fusion methods can generally deliver efficient data fusion by combining the convolutional neural network or transformer and unsupervised loss function. Apart from the research on fusion methods, great efforts have been made to explore the application of fusion methods to disease diagnosis and therapy, such as PET-CT fusion for lung cancer detection and MR-ultrasound fusion for targeted prostate biopsy. Thus, the aim of this Special Issue, titled “Multi-Sensor Fusion in Medical Imaging, Diagnosis and Therapy”, is to collect high-quality research papers on multi-sensor fusion methods and their application to disease diagnosis and therapy.
Dr. Xuming Zhang
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. Sensors 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
- data fusion
- sparse representation
- multi-scale decomposition
- machine learning
- deep learning model
- convolutional neural network
- transformer
- disease diagnosis and therapy
