Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Evaggelos Dermatas"'
Autor:
George Apostolopoulos, Evaggelos Dermatas, Ioanna Christoyianni, Athanasios Koutras, Dionysios Anyfantis
Publikováno v:
BIBE
Mammography is still the most effective procedure for early diagnosis of breast cancer. Computer-aided Diagnosis (CAD) systems can be very helpful in this direction and an assistance tool for radiologists to recognize abnormal and normal regions of i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::948501777dc88711c652fba9b29e6137
https://doi.org/10.1109/bibe50027.2020.00149
https://doi.org/10.1109/bibe50027.2020.00149
Publikováno v:
Apostolopoulos, G, Tzitzilonis, V, Kappatos, V & Dermatas, E 2016, Disguised face identification using multi-modal features in a quaternionic form . in Proceedings of the 7th International Conference on Imaging for Crime Prevention and Detection . Institution of Engineering and Technology, 7th International Conference on Imaging for Crime Detection and Prevention, Madrid, Spain, 23/11/2016 . https://doi.org/10.1049/ic.2016.0074
ICDP
Scopus-Elsevier
ICDP
Scopus-Elsevier
Disguised face recognition is considered as very challenging and important problem in the face recognition field. A disguised face recognition algorithm is proposed using quaternionic representation. The feature extraction module is accomplished with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c85165c3778cce9b0adc5759d436d56
https://portal.findresearcher.sdu.dk/da/publications/9d199998-5db3-4ed7-b4d3-b54b131e1491
https://portal.findresearcher.sdu.dk/da/publications/9d199998-5db3-4ed7-b4d3-b54b131e1491
Publikováno v:
Computer Speech & Language. 26:274-292
We propose a two-stage phone duration modelling scheme, which can be applied for the improvement of prosody modelling in speech synthesis systems. This scheme builds on a number of independent feature constructors (FCs) employed in the first stage, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ac51ac32417877896ce33388f8055c5
https://doi.org/10.1016/j.csl.2012.01.009
https://doi.org/10.1016/j.csl.2012.01.009
Publikováno v:
Artificial Intelligence: Methods and Applications ISBN: 9783319070636
SETN
SETN
In this paper a robust regions-of-suspicion (ROS) diagnosis system on mammograms, recognizing all types of abnormalities is presented and evaluated. A new type of descriptors, based on Shapelet decomposition, derive the source images that generate th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8746980a256c1adfd8c6b1747610833e
https://doi.org/10.1007/978-3-319-07064-3_44
https://doi.org/10.1007/978-3-319-07064-3_44
Publikováno v:
ICIP (2)
A novel method for accurate detection of regions of interest (ROIs) that contain circumscribed lesions in mammograms is presented. The mammograms are segmented using a statistical threshold and a number of candidate regions are extracted. Then a set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e7180883f18cc17cd62dc10762b0a73
https://doi.org/10.1109/icip.2001.958634
https://doi.org/10.1109/icip.2001.958634
Publikováno v:
ICASSP
A novel method for fast detection of regions of suspicion (ROS) that contain circumscribed lesions in mammograms is presented. The position and the size of ROS are first recognized with the aid of a radial-basis-function neural network (RBFNN) by per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9720fe6a07411b99559d96cce4f13c59
https://doi.org/10.1109/icassp.1999.758411
https://doi.org/10.1109/icassp.1999.758411