AI-Based Medical Image Analysis: State-of-the-Art Techniques and Emerging Applications
A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Medical Research".
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 481
Special Issue Editors
Interests: image analysis; artificial intelligence
2. National Accelerators' Center, University of Seville, 41004 Sevilla, Spain
Interests: molecular imaging; positron emission tomography–PET; computed tomography–CT; medical imaging; PET detectors; boron neutron capture therapy–BNCT; artificial intelligence applied to medical imaging
Special Issues, Collections and Topics in MDPI journals
Interests: AI; artificial intelligence; radiology; radiomics
Special Issue Information
Dear Colleagues,
This Special Issue titled "AI-Based Medical Image Analysis: State-of-the-Art Techniques and Emerging Applications" will provide an in-depth overview of the latest advancements, challenges, and future prospects in the fields of medical imaging and artificial intelligence (AI). Due to the rapid progression of AI technologies, there has been a significant impact on medical imaging, revolutionizing the way healthcare professionals diagnose and treat various conditions.
The collection of articles within this Special Issue will present cutting-edge research and innovative applications of AI in medical imaging. It will cover a wide range of topics, including image analysis, computer-aided diagnosis and prognosis, image segmentation, synthetic image generation, deep learning algorithms, and image reconstruction techniques, highlighting the potential of AI to enhance the accuracy, efficiency, and interpretation of medical images, leading to improved patient care and outcomes.
We will welcome contributions from leading researchers and practitioners that will shed light on the recent developments and highlight key challenges, such as data quality and interpretability in AI-driven medical imaging. There will be a focus on manuscripts that discuss the integration of AI algorithms into clinical workflows and the need for collaboration between computer scientists, radiologists, and other medical professionals.
The topics of interest for this Special Issue include, but are not limited to, the following:
- Medical imaging analysis;
- Computer-aided diagnosis and prognosis;
- AI-based segmentation techniques;
- Synthetic imaging and data augmentations;
- Interpretable AI in medical imaging;
- Image reconstruction;
- Deep learning and machine learning in medical imaging;
- Multi-Modal Imaging Integration.
Dr. Fabio Bottari
Prof. Dr. Marcin Balcerzyk
Dr. Andrea Corsi
Dr. Manasi Datar
Guest Editors
Manuscript Submission Information
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