Journal Information
IET Journal on Computer Vision
Impact Factor:

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
Related Publications
Related Journals
CCFFull NameImpact FactorPublisherISSN
cIET Journal on Computer Vision0.573IET1751-9632
aIEEE Transactions on Computers1.723IEEE0018-9340
bJournal of Computer Science and Technology0.475SCIENCE PRESS1000-9000
Computers & Mathematics with Applications1.398ELSEVIER0898-1221
The Scientific World Journal1.730Hindawi1537-744X
cComputer Communications3.338ELSEVIER0140-3664
Computer Science - Research and Development Springer1865-2034
International Journal of Multimedia & Its Applications AIRCC0975-5934
bComputer-Aided Design2.149ELSEVIER0010-4485
cComputers & Graphics1.176ELSEVIER0097-8493
Related Conferences
CCFCOREQUALISShortFull NameSubmissionNotificationConference
ba*b1IJCARInternational Joint Conference on Automated Reasoning2012-01-232012-03-262012-06-26
baa2SPAAACM Symposium on Parallelism in Algorithms and Architectures2017-02-092017-04-232017-07-24
ISSEPInternational Conference on Informatics in Schools: Situation, Evolution and Perspectives2015-03-152015-05-152015-09-28
cb3ICTACInternational Colloquium on Theoretical Aspects of Computing2017-04-222017-06-082017-10-23
aa*a1NIPSAnnual Conference on Neural Information Processing Systems2017-05-19 2017-12-04
CIAInternational Conference on Computer, Information and Application2016-03-302016-04-152016-05-19
bTrustBusInternational Conference on Trust, Privacy, and Security in Digital Business2016-04-042016-06-062016-09-05
GCBGerman Conference on Bioinformatics2015-06-302015-07-312015-09-27
ICICInternational Conference on Intercultural Collaboration2011-10-152011-12-072012-03-21
ICCEBEInternational Conference on Computer, Electronics, and Biomedical Engineering2015-10-032015-10-062015-10-14