Machine Learning in Medical Imaging
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 1253
Special Issue Editor
Interests: medical image analysis; machine learning and artificial intelligence for computer-aided diagnosis and treatment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Medical imaging is a cornerstone of modern medicine, allowing physicians to peer inside the human body with unprecedented clarity. However, the sheer volume and complexity of medical image data have posed challenges that have often necessitated time-consuming and subjective human interpretation. Machine learning, which provides the ability to sift through vast datasets, identify patterns, and make predictions with remarkable accuracy, represents a paradigm shift with the potential to revolutionize medical practice, enabling earlier and more precise diagnoses, personalized treatment plans, and enhanced patient care.
This Special Issue addresses all aspects relevant to the application of machine learning in medical imaging. From the development of novel machine learning algorithms for medical image acquisition, processing, and analysis (e.g., image segmentation, registration, disease classification, and predictive modeling) to the ethical and regulatory considerations that accompany the adoption of these algorithms, this Special Issue aims to discuss the current state-of-the-art technologies that pertain to this dynamic field, as well as the field’s emerging trends and potential future research directions. We invite researchers to contribute to this Special Issue with original research articles and review articles that focus on machine learning in medical imaging.
Dr. Gemma Piella
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. Diagnostics 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.
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.
