Applications of Biomedical Imaging and Sensing Technologies in Disease Diagnosis
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 29 July 2024 | Viewed by 159
Special Issue Editor
Interests: computer vision; 3D acquisition systems; tomography; deep learning; pattern recognition
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We cordially invite you to submit your valuable research articles for consideration to our Special Issue on "Applications of Biomedical Imaging and Sensing Technologies in Disease Diagnosis". This Special Issue aims to explore the advancements and promising applications of biomedical imaging techniques and image sensors in the field of disease diagnosis.
Throughout the years, biomedical imaging has demonstrated its vast potential in enhancing our understanding of various diseases and improving patient care. This Special Issue intends to provide a platform for researchers, scientists, and medical professionals to share their findings, exchange knowledge, and engage in discussions regarding the integration of biomedical imaging in disease diagnosis.
We welcome submissions that contribute to the advancement of this field, including but not limited to topics such as the utilization of magnetic resonance imaging (MRI), computed tomography (CT), ultrasound, positron emission tomography (PET), and optical imaging techniques in disease diagnosis. Research articles focusing on the development of novel sensors and imaging methods, implementation of artificial intelligence algorithms, and the utilization of big data analytics for disease diagnosis are highly encouraged.
We kindly request that all submissions comply with the journal guidelines and include a clear methodology, results, and a discussion section. Our editorial team, consisting of distinguished experts in the field, will ensure a rigorous peer-review process.
We firmly believe that your exceptional research findings can make a significant impact on the field of disease diagnosis via biomedical imaging. Your contribution to this Special Issue will be immensely valuable in advancing scientific knowledge and fostering collaborative growth.
Thank you for considering our invitation. We eagerly anticipate your impressive research contributions.
Yours sincerely,
Dr. Marco Marcon
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
- machine learning for biomedical imaging
- novel imaging sensors for disease diagnosis
- medical imaging technology
- diagnostic imaging techniques
- radiology in disease diagnosis
- magnetic resonance imaging (MRI)
- computed tomography (CT)
- positron emission tomography (PET)
- ultrasonography
- molecular imaging
