Medical Image Computing and Analysis
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Bioelectronics".
Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 2984
Special Issue Editors
Interests: medical imaging; image processing and analysis; image segmentation; image registration; navigation; mixed reality visualization; deep learning
Interests: visual information processing and analysis; computer vision; machine learning; signal processing
Special Issues, Collections and Topics in MDPI journals
Interests: biometrics; compression; contrast; coding; diffusion; entropy; fractals; human visual system; image and video processing; image and video quality; image understanding; motion; non-linear filtering; percolation; scene analysis; segmentation
Special Issue Information
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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Keywords
- 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
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