Call for Papers
CMC-Computers, Materials & Continua new special issue“Emerging Trends and Applications of Deep Learning for Biomedical Signal and Image Processing”is open for submission now.
Submission Deadline: 31 March 2025
Guest Editors
- Prof. Batyrkhan Omarov, Al-Farabi Kazakh National University, Kazakhstan
- Prof. Aigerim Altayeva, International Information Technology University，Kazakhstan
- Prof. Bakhytzhan Omarov, International University of Tourism and Hospitality, Kazakhstan
Summary
In this special issue, we delve into the cutting-edge advancements and transformative applications of deep learning techniques within the realms of biomedical engineering and healthcare. Deep learning, a subset of artificial intelligence, has emerged as a groundbreaking tool, offering unparalleled capabilities in interpreting complex biomedical signals and images. This issue brings together a collection of research articles, reviews, and case studies that highlight the innovative integration of deep learning methodologies for analyzing physiological signals (such as EEG, ECG, and EMG) and medical images (including MRI, CT scans, X-rays, and etc.).
The content spans a broad spectrum, from theoretical frameworks and algorithm development to practical applications and case studies, providing insights into the current state-of-the-art and future directions in this rapidly evolving field. Key themes include, but are not limited to, the development of novel deep learning models for disease diagnosis and prognosis, enhancement of image quality and interpretation, real-time monitoring and analysis of biomedical signals, and personalized healthcare solutions.
Contributors to this issue showcase the significant impact of deep learning on improving diagnostic accuracy, enabling early detection of abnormalities, and facilitating personalized treatment plans. Furthermore, discussions extend to ethical considerations, data privacy, and the challenges of implementing AI technologies in clinical settings, offering a comprehensive overview of the landscape of deep learning applications in biomedical signal and image processing.
Through a blend of technical depth and accessibility, this special issue aims to inform and inspire researchers, clinicians, and industry professionals about the potential of deep learning to revolutionize healthcare, paving the way for more innovative, efficient, and personalized medical care.
For submission guidelines and details, visit: https://www.techscience.com/.../special.../biomedical-signal
For what i could see, this issue dives into how deep learning, a powerful part of artificial intelligence, is making big waves in healthcare and biomedical engineering. It's all about using smart algorithms to understand complicated signals and images in medicine.
My view of this:
Deep learning in healthcare is like having a super-smart assistant for doctors and researchers. It helps them understand tricky signals and images in medicine, making diagnoses faster and more accurate. Plus, it's paving the way for personalized treatment plans, which means better care for everyone. This special issue is like a treasure trove of ideas and discoveries showing how deep learning is transforming healthcare for the better.