Special Issue "Sensor Data Fusion Based on Deep Learning for Computer Vision and Medical Applications"
Deadline for manuscript submissions: 31 August 2021.
Interests: computer vision (gaze tracking); human–computer interaction; biometrics (iris and sclera segmentation); medical image processing and understanding; artificial intelligence; deep learning
Interests: deep learning; semantic segmentation; image classification; medical image analysis; computer-aided diagnosis (CAD); biometrics (finger vein and iris segmentation)
Interests: medical image analysis; weakly supervised learning; reinforcement learning; computer aided diagnosis (CAD)
Interests: image segmentation; image classification; medical image analysis; biometrics (fingerprints and iris segmentation); deep learning
Interests: image analysis; machine learning; AI as service; medical image analysis; data analytics
It is our pleasure to invite submissions to this Special Issue on “Sensor Data Fusion Based on Deep Learning for Computer Vision and Medical Applications”.
Recent advancements have led to the extensive use of various sensors, such as visible light, near-infrared (NIR), thermal camera sensors, fundus cameras, H&E stains, endoscopy, OCT cameras, and magnetic resonance imaging sensors, in a variety of applications in computer vision, biometrics, video surveillance, image compression and image restoration, medical image analysis, computer-aided diagnosis, etc. Research related to sensor and data fusion, information processing and merging, and fusion architecture for the cooperative perception and risk assessment is needed for computer vision and medical applications. Indeed, prior to ensuring a high level of accuracy in the deployment of computer vision and deep learning applications, it is necessary to guarantee high-quality and real-time perception mechanisms. While computer vision technology has matured, its performance is still affected by various environmental factors, and recent approaches have been attempted to fuse data from various sensors based on deep learning techniques to guarantee higher accuracy. The objective of this Special Issue is to invite high-quality, state-of-the-art research papers that deal with challenging issues in deep-learning-based computer vision and medical applications. We solicit original papers of unpublished and completed research that are not currently under review by any other conference/magazine/journal. Topics of interest include, but are not limited to, the following:
- Computer vision by various camera sensors;
- Biometrics and spoof detection by various camera sensors;
- Image classification using various, NIR, VL camera sensors;
- Detection and localization by deep learning by various cameras;
- Deep-learning-based object segmentation/instance segmentation by media sensors;
- Medical image processing and analysis by various camera sensors;
- Deep learning by various camera sensors;
- Multiple-approach fusion that combines deep learning techniques and conventional methods on images obtained by various camera sensors.
Dr. Rizwan Ali Naqvi
Dr. Muhammad Arsalan
Dr. Talha Qaiser
Dr. Tariq Mahmood Khan
Dr. Imran Razzak
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Sensor data fusion
- Image processing
- Deep feature fusion
- Image/video-based classification
- Semantic segmentation/instance segmentation
- Medical image analysis
- Computer-aided diagnosis
- Computer vision
- Fusion for biometrics
- Fusion for medical applications
- Fusion for semantic information
- Smart sensors