Special Issue "Deep Learning for Computer-Aided Diagnosis in Biomedical 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 March 2021.
2. University of Michigan, Ann Arbor, MI, USA
Interests: biomedical imaging; computer vision; machine learning; visual analytics
Deep learning has led to dramatic advances in the analysis of images and video and has demonstrated the potential to transform computer-aided diagnosis in biomedical imaging. Innovations in algorithm and software development and availability of larger annotated biomedical imaging datasets are driving improvements in automated classification, localization, retrieval, and segmentation of molecules, cells, lesions, nodules, tumors, organs and other structures of interest. Deep neural networks have also been employed for medical image generation and enhancement, and integration of images and biomedical data of other modalities. However, applications of deep learning to computer-assisted diagnosis in biomedical imaging also pose important challenges, such as learning from small, imbalanced, and noisy data, estimating model uncertainty, evaluating and interpreting models, limiting computing requirements, and designing and building interfaces between algorithms and clinicians. This Special Issue will focus on recent advances, prospects and challenges in deep learning applications to computer-aided biomedical imaging.
Dr. Alexandr Kalinin
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 papers will be 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 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 1600 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.
- deep learning
- biomedical image analysis
- computer-assisted diagnosis
- computer vision
- artificial intelligence in biomedicine
- self- and semi-supervised learning
- one- and few-shot learning
- transfer learning
- model interpretability
- biomedical image augmentation
- biomedical image segmentation
- object detection and localization
- image generation and enhancement
- 2D and 3D modeling
- 2D and 3D reconstruction
- image-guided surgery and intervention
- personalized medicine
- on-device deep learning