Computer Vision: Healthcare Applications to Tackle COVID-19
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 2752
Special Issue Editor
Interests: IoT; machine learning; healthcare; pandemic; blockchain; convergence; health monitoring; networks; wireless networked control systems; the wireless sensor systems; Parkinson’s disease; wearable technology; sensors; internet of things; artificial intelligence; deep learning; remote monitoring; smart personalized healthcare
Special Issue Information
Dear Colleagues,
The latest anxiety to public health, governments, and medical communities is the growing disease of COVID-19, which is a respiratory infection similar to classic pneumonia. Computer Vision is a subfield of Deep Learning that has recently gained popularity in dealing with different complex tasks in the healthcare area. Clinical image processing and analysis are elementary to understanding and predicting clinical images in healthcare applications. We aim to support researchers to publish their experimental and review papers in as much detail as possible. The articles should cover some practical applications of CV techniques related to COVID-19 disease and indicate some unique and original features of CV used for a healthcare application. There will be no restriction considering the length of the submitted papers.
Subjects consist of the following areas, but are not limited to:
- COVID-19 Image Datasets for Deep Learning Models
- Computer-Aided Diagnosis
- Medical Image Processing and Analysis
- Video Processing and Analysis for COVID-19 Diagnosis
- Weakly-Supervised Medical Image Segmentation
- Deep Learning for Medical Imaging
- Mask Detection
- Thermography
- Disease Progression Score
- Pandemic Drones
- X-Ray Radiography
Prof. Dr. Muhammad Ali Imran
Guest Editor
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Keywords
- computer vision
- COVID-19
- deep learning
- machine learning
- healthcare applications
- classification
- object detection
- image segmentation
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