Dear Colleagues,

Medical image computing and analysis are fundamental to understanding, visualizing, and quantifying medical images in clinical applications. The rapid developments during the past couple of decades has helped in the creation of faster diagnosis and more accurate treatment solutions, leading to significant increase in patient safety while reducing processing time and cost.  

The field of medical image computing and analysis is a branch of scientific computing, where advanced computational strategies are applied for the extraction of relevant quantitative information from medical images. Though segmentation, visualization, registration, navigation, etc., are seen as separate problems under medical image computing, they are closely interconnected in solving clinical bottlenecks. For example, segmentation of an organ of interest could be used as a starting point for registration between multiple medical image modalities, which could further be used for visualization with head mounted displays.  

The aim of this Special Issue of Electronics is to present state-of-the-art investigations in medical image computing and analysis for improving current applications and exploring novel applications in medicine. It will also be a question in this Special Issue to confront and make the link between the classical approaches based on interpretable and flexible models and the new trend represented by the approaches based on deep learning which seem to become widespread. Towards achieving this aim, we invite researchers to contribute original and unique articles, as well as review articles. Topics include, but are not limited to, the following areas:

• Medical Image Processing and Analysis
• Video Processing and Analysis for Medical Diagnosis
• Video Guided Surgery
• Medical Image Datasets for Deep Learning Models
• Computer-Aided Diagnosis
• Learning-Based Image Enhancement
• Weakly-Supervised Medical Image Segmentation
• Image Visualization and Reconstruction
• Mixed, Augmented, and Virtual Reality
• Image Registration
• Image Guided Navigation
• Deep Learning for Medical Imaging

Dr. Rahul Prasanna Kumar
Prof. Dr. Faouzi Alaya Cheikh
Prof. Dr. Azeddine Beghdadi
Guest Editors

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• medical imaging
• medical image computation
• medical image analysis
• image enhancement
• image segmentation
• image registration
• image guided navigation
• visualization
• deep learning
• artificial intelligence
• machine learning
• mixed reality
• augmented reality
• virtual reality
• validation
• diagnosis
• treatment
• patient
• healthcare