Journal Information
IET Journal on Computer Vision
http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4159597
Impact Factor:
0.573
Publisher:
IET
ISSN:
1751-9632
Viewed:
4779
Tracked:
6

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Call For Papers
IET Computer Vision seeks original research papers in the following areas of computer vision: Methodology; Biologically and perceptually motivated approaches to low level vision (feature detection etc); Perceptual grouping and organisation; Representation, analysis and matching of 2D and 3D shape; Shape-from-X; Object recognition; Image understanding; Learning with visual inputs; Motion analysis and object tracking; Multiview scene analysis; Cognitive approaches is low, mid and high level vision; Control in vision systems; Colour, reflectance and light; Statistical and probabilistic models; Applications; Face and gesture; Surveillance; Biometrics and security; Robotics, vehicle guidance; Automatic model acquisition; Medical image analysis and understanding; Aerial scene analysis and remote sensing.
Last updated by Dou Sun in 2017-05-16
Special Issues
Special Issue on Computer Vision in Cancer Data Analysis
Submission Date: 2017-12-31

This Special Issue will present state-of-the-art computer vision methods in cancer data analysis. Recent progress in imaging hardware, acquisition techniques, and algorithmic processing of data has led to advances in detection, diagnosis, staging, treatment, and follow-up in cancer-related clinical workflows, as well as fundamental understanding of cancer modelling and dynamics. Cancer imaging includes varied modalities, and numerous scales including nano, micro, and macro. The Special Issue will be dedicated to technical advances that have potential for clinical relevance, and seeks to bring together a collection of recently developed approaches in this domain. We hope the methods presented will inspire future research both from theoretical and practical viewpoints to spur further advances in the field. Topics include, but are not limited to: - Segmentation in cancer imaging: from nano to macro - Tracking of cells in metastasis and migration processes - Registration of cancer images - Histopathology image analysis - Modelling of cancer cells, vasculature and cancerous processes - Image-based interventional techniques for cancer treatment - Tissue characterisation from images - Machine learning in medical imaging for detection, diagnosis, and cancer staging
Last updated by Dou Sun in 2017-05-16
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