Current Progress in Medical Image Segmentation
A special issue of Journal of Imaging (ISSN 2313-433X).
Deadline for manuscript submissions: 31 December 2024 | Viewed by 274
Special Issue Editor
Interests: medical image segmentation; medical imaging
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Medical image segmentation (MIS) is an essential component of modern medical imaging, enabling the precise and reliable extraction of meaningful information from medical images.
Despite significant advancements, MIS still faces numerous challenges which include the following:
- Data-related challenges (due to limited annotated data, data heterogeneity, and class imbalance);
- Model/algorithmic challenges (complexity and resource intensive nature);
- Biological variability challenges (anatomical and disease variability);
- Clinical integration challenges (workflow integration and user-acceptance);
- Technical challenges (real-time segmentation).
These challenges pose an ever-growing need for continuous innovation to enhance the accuracy, reliability, and efficiency of MIS.
Therefore, we warmly invite you and your colleagues to submit original research articles, reviews, systematic reviews, meta-analyses, brief reports, and case reports that address issues related to medical image segmentation, specifically focusing on the development of new algorithms and techniques, addressing data imbalances, enhancing model generalization, and leveraging novel architectures.
You may choose our Joint Special Issue in Life.
Dr. Krishna Chaitanya
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. Journal of Imaging is an international peer-reviewed open access monthly 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 1800 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
- medical image segmentation
- deep learning
- generative models
- algorithm
- clinical integration
- biological variability
- transformer architectures
- interactive segmentation
- interdisciplinary collaboration
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.
