Computer-aided Biomedical Imaging 2020: Advances and Prospects

Dear Colleagues,

At present, image acquisition and analysis are a fundamental basis in many disciplines of biomedical scope. In tasks such as screening, diagnosis, treatment, drug development, molecular analysis, etc., visual information is crucial for a successful performance. Given the existence of numerous image modalities with more and more quality, the time and effort demanded from the specialists for its manual analysis is appalling, leading to an underutilization of the available visual information. Thus, computerized solutions for aiding in the process of the image analysis via automatic or semi-automatic procedures come as a necessity. In recent years, along with the availability of huge amounts of biomedical imaging data, new computer-based paradigms (e.g., Big Data or deep learning) are experiencing increasing popularity, improving traditional procedures related to many applications, including biomedical image analysis.

This Special Issue focuses on the recent advances and prospects in computer-aided biomedical imaging and welcomes contributions in topics that include but are not limited to:

• Biomedical image analysis
• Deep learning in biomedicine
• Artificial Intelligence in biomedicine
• Applied soft computing
• Computer-assisted diagnosis
• Image-guided therapy
• Image-guided surgery and intervention
• 2D and 3D modeling
• 2D and 3D segmentation
• 2D and 3D reconstruction
• 2d and 3D registration and fusion
• Motion analysis
• Telemedicine with medical images
• Image quality assessment
• Applications of Big Data in imaging
• Biomedical robotics and haptics

Prof. Dr. Marcos Ortega Hortas
Dr. Jorge Novo Buján
Dr. Pablo Mesejo Santiago
Guest Editors

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