Deep Learning and Its Application in Biomedical Signal and Image Processing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Bioelectronics".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 168
Editor
Interests: image and signal processing; computational intelligence; human–robot interaction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on deep learning and its applications in biomedical signal and medical image processing. Studies utilizing biosignals, such as EEG, ECG, EMG, PPG, and ERP, as well as medical imaging modalities, including MRI, ultrasound, CT, and PET, are encouraged. The issue aims to address diverse applications such as dementia detection, depression analysis, epilepsy diagnosis, biometrics, cancer diagnosis, and lesion detection. In particular, it highlights hybrid models that integrate deep learning with recent techniques to enhance interpretability and reasoning capability, enabling the development of explainable and intelligent medical AI systems that can support reliable clinical decision-making.
The topics relevant to the Special Issue include (but are not limited to) the following:
- Deep learning for biomedical image processing;
- Deep learning for biomedical signal processing;
- Deep learning for biometrics;
- Deep learning for depression diagnosis;
- Deep learning for cancer diagnosis;
- Deep learning for healthcare applications;
- Information fusion of deep learning;
- Explainable AI of deep learning;
- Advanced techniques for deep learning.
Dr. Keun-Chang Kwak
Guest Editor
Manuscript Submission Information
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Keywords
- deep learning
- deep fuzzy learning
- biomedical image processing
- biomedical signal processing
- explainable AI
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