The Advanced Role of Medical Image Segmentation in Computer-Aided Diagnosis
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: closed (30 September 2023) | Viewed by 3387
Special Issue Editor
Special Issue Information
Dear Colleagues,
Medical image segmentation is an essential component of computer-aided diagnosis systems (CADs), in which accurate segmentation is vital to achieving perfect disease diagnoses. Medical images from different imaging modalities play a crucial role in the early detection of cancer, tumors, and diagnosis of diseases. Various devices are used to image all parts of the human body, which leads to variability in the objects detected in medical images. In addition, the medical imaging of interior and exterior parts of the human body results in images with varying contrasts. Furthermore, in general, medical images are associated with noise. Due to these factors, the segmentation of medical images can be challenging.
Deep learning-based segmentation methods and hybrid methods can be used to segment grayscale and color medical images. This Special Issue addresses all aspects of medical image segmentation and its advanced role in computer-aided diagnosis. This Special Issue particularly focuses on the optimization-based segmentation methods of 2D and volumetric medical images. We invite researchers to contribute to this Special Issue with original research articles and review articles that concentrate on the abovementioned areas of interest.
Prof. Dr. Khalid M. Hosny
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.
Keywords
- medical images
- segmentation
- classification
- computer-aided diagnosis systems
- optimization algorithms
- deep learning