Resultats globals: 11 registres trobats en 0.02 segons.
Articles, 11 registres trobats
Articles 11 registres trobats  1 - 10següent  anar al registre:
1.
11 p, 498.2 KB Analysis of the Measurement Matrix in Directional Predictive Coding for Compressive Sensing of Medical Images / Christinal, Hepzibah A. (Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India) ; Kowsalya, G. (Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India) ; Chandy D., Abraham (Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India) ; Jebasingh, Stephenraj (Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India) ; Bajaj, Chandrajit (University of Texas)
Compressive sensing of 2D signals involves three fundamental steps: sparse representation, linear measurement matrix, and recovery of the signal. This paper focuses on analyzing the efficiency of various measurement matrices for compressive sensing of medical images based on theoretical predictive coding. [...]
2021 - 10.5565/rev/elcvia.1412
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 2 (2021) , p. 102-113 (Regular Issue)  
2.
16 p, 2.1 MB Retinal Blood Vessel Extraction from Fundus Images Using Enhancement Filtering and Clustering / Dash, Jyotiprava (Veer Surendra Sai University of Technology (Burla, Índia). Department of Electronics and Telecommunication Engineering) ; Parida, Priyadarsan (GIET University (Gunupur, India). Department of Electronics and Communication Engineering) ; Bhoi, Nilamani (Veer Surendra Sai University of Technology (Burla, Índia). Department of Electronics and Telecommunication Engineering)
Screening of vision troubling eye diseases by segmenting fundus images eases the danger of loss of sight of people. Computer assisted analysis can play an important role in the forthcoming health care system universally. [...]
2020 - 10.5565/rev/elcvia.1239
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 19 Núm. 1 (2020) , p. 38-52 (Regular Issue)  
3.
4 p, 225.2 KB Video Processing for Remote Respiration Monitoring / Alinovi, Davide ; Raheli, Riccardo, dir.
Monitoring of vital signs is a key tool in medical diagnostics. Among fundamental vital parameters, the Respiratory Rate (RR) plays an important role as indicator of possible pathological events. For this reason, respiration needs to be carefully monitored in order to detect potential signs indicating possible changes of health conditions. [...]
2017 - 10.5565/rev/elcvia.1124
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 9-12 (Special Issue on Recent PhD Thesis Dissemination (2017))  
4.
4 p, 107.2 KB Learning audio and image representations with bio-inspired trainable feature extractors / Strisciuglio, Nicola (University of Groningen. Johann Bernoulli Institute for Mathematics and Computer Science)
Since when very young, we can quickly learn new concepts, and distinguish between different kinds of object or sound. If we see a single object or hear a particular sound, we are then able to recognize such sample or even different versions of it in other scenarios. [...]
2017 - 10.5565/rev/elcvia.1128
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 17-20 (Special Issue on Recent PhD Thesis Dissemination (2017))  
5.
3 p, 2.6 MB Monitoring Infants by Automatic Video Processing / Cattani, Luca ; Raheli, Riccardo, dir.
This work has, as its objective, the development of non-invasive and low-cost systems for monitoring and automatic diagnosing specific neonatal diseases by means of the analysis of suitable video signals. [...]
2016 - 10.5565/rev/elcvia.983
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 Núm. 2 (2016) , p. 10-12 (Special Issue on Recent PhD Thesis Dissemination (2016))  
6.
3 p, 1.2 MB Integrated Registration, Segmentation, and Interpolation for 3D/4D Sparse Data / Paiement, Adeline
We address the problem of object modelling from 3D and 4D sparse data acquired as different sequences which are misaligned with respect to each other. Such data may result from various imaging modalities and can therefore present very diverse spatial configurations and appearances. [...]
2015 - 10.5565/rev/elcvia.712
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 14 Núm. 3 (2015) , p. 6-8 (Special Issue on Recent PhD Thesis Dissemination (2014))  
7.
2 p, 148.7 KB DROP : a Data Reduction and Organization Paradigm and its Application in Image Analysis / Saito, Priscila T. M.
In this paper, we deal with the problem of the annotation process in image analysis. This problem refers to the trade-off, wherein the human knowledge is indispensable for the success of the process and human's time and effort are precious resources. [...]
2015 - 10.5565/rev/elcvia.727
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 14 Núm. 3 (2015) , p. 31-32 (Special Issue on Recent PhD Thesis Dissemination (2014))  
8.
2 p, 6.5 MB Multi-class learning for vessel characterisation in intravascular ultrasound / Ciompi, Francesco
In this thesis we tackle the problem of automatic characterization of human coronary vessel in IntravascularUltrasound (IVUS) image modality. The basis for the whole characterization process is machinelearning applied to multi-class problems. [...]
2014 - 10.5565/rev/elcvia.625
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 47-48  
9.
3 p, 139.8 KB Registration and analysis for images couple : application to mammograms / Boucher, Arnaud
In this thesis, the problem addressed is the development of a computer-aided diagnosis system (CAD) based on conjoint analysis of several images, and therefore on the comparison of these medical images. [...]
2014 - 10.5565/rev/elcvia.614
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 26-28  
10.
3 p, 25.1 KB Adaptive texture description and estimation of the class prior probabilities for seminal quality control / González-Castro, Víctor
Semen quality assessment is a crucial task in artificial insemination processes, both for humans and animals. Animal artificial insemination allows farmers to save time and money (e. g. working with a limited number of animals). [...]
2014 - 10.5565/rev/elcvia.606
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 19-21  

Articles : 11 registres trobats   1 - 10següent  anar al registre:
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