Multimodal Machine Learning Approaches on HealthCare
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (20 June 2023) | Viewed by 515
Special Issue Editors
Interests: medical image analysis; computer vision; machine learning; medical instrumentation; signal processing
Special Issues, Collections and Topics in MDPI journals
Interests: medical image analysis; computer vision; machine learning; data science; computer science photos
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Advances in artificial intelligence methods have enabled the development of computer-aided systems capable of accurately providing assistance in several clinical tasks. Considering the fact that different modalities of medical data are generated over the multiple stages of clinical routine, novel AI-based approaches should also advance in this direction.
This Special Issue welcomes research on multimodal medical data aggregation, showing its benefits and relevance to push machine learning applications in healthcare.
Dr. Tania Pereira
Dr. Hélder P. Oliveira
Guest Editors
Manuscript Submission Information
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Keywords
- multimodal medical data
- machine learning
- deep learning
- biomedical data analysis
- clinical feature representation
- feature relationships
