Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Cheran SC"'
Autor:
Bellotti, R, Cerello, P, Tangaro, S, Bevilacqua, V, Castellano, M, Mastronardi, G, De Carlo, F, Bagnasco, S, Bottigli, U, Cataldo, R, Catanzariti, E, Cheran, Sc, Delogu, Pasquale, De Mitri, I, De Nunzio, G, Fantacci, MARIA EVELINA, Fauci, F, Gargano, G, Golosio, B, Indovina, Pl, Lauria, A, Lopez Torres, E, Magro, R, Masala, Gl, Massafra, R, Oliva, P, Martinez, Ap, Quarta, M, Raso, G, Retico, A, Sitta, M, Stumbo, S, Tata, A, Squarcia, S, Schenone, A, Molinari, E, Canesi, B.
In this paper medical applications on a Grid infrastructure, the MAGIC-5 Project, are presented and discussed. MAGIC-5 aims at developing Computer Aided Detection (CADe) software for the analysis of medical images on distributed databases by means of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dd9ad377605ca677ae7bc6fb701ebca
http://hdl.handle.net/11588/102375
http://hdl.handle.net/11588/102375
Autor:
DELOGU P, CHERAN SC, DE MITRI I, DE NUNZIO G, FANTACCI ME, FAUCI F, GARGANO G, LOPEZ TORRES E, MASSAFRA R, OLIVA P, PREITE MARTINEZ A, RETICO A, STUMBO S, TATA A., RASO, Giuseppe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::ac8fdd2d4693672bfb220a83c6c6db22
http://hdl.handle.net/10447/4135
http://hdl.handle.net/10447/4135
Autor:
MASALA GL, GOLOSIO B, OLIVA P, TANGARO S, QUARTA M, CHERAN SC, LOPEZ TORRES E., CASCIO, Donato, FAUCI, Francesco
In this paper we investigate the feasibility of some typical techniques of pattern recognition for the classification of medical examples. The learning of the classifiers is not made in the traditional features space but it can be made by constructin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::32e87acac24f7fb1ee88d31ac7b79eb7
http://hdl.handle.net/10447/12021
http://hdl.handle.net/10447/12021
Akademický článek
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Akademický článek
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Akademický článek
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Autor:
Bellotti, R., Bagnasco, S., Bottigli, U., Castellano, M., Cataldo, R., Catanzariti, E., Cerello, P., Cheran, Sc, Carlo, De, F, Pasquale Delogu, Mitri, De, I, Nunzio, De, Maria Evelina Fantacci, Fauci, Me, Forni, F., Gargano, G., Golosio, G., Indovina, B., Lauria, Pl, Torres, A., Magro, El, Martello, R., Masala, D., Massafra, Gl, Oliva, R., Palmiero, P., Martinez, R., Prevete, Ap, Quarta, R., Ramello, M., Raso, L., Retico, G., Santoro, A., Sitta, M., Stumbo, M., Tangaro, S., Tata, S., Zanon, A.
Publikováno v:
Università di Pisa-IRIS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::50b238460f520e7133b4036836abe52c
https://arpi.unipi.it/handle/11568/188789
https://arpi.unipi.it/handle/11568/188789
Autor:
Robero Bellotti, G. Gargano, Francesco De Carlo, Stefano Bagnasco, Giuseppe Raso, S. C. Cheran, Giorgio De Nunzio, A. Lauria, R. Magro, Sonia Tangaro, R. Cataldo, Ivan De Mitri, Ernesto Lopez Torres, Francesco Fauci, Piergiorgio Cerello, G. Forni
Publikováno v:
Scopus-Elsevier
A new algorithm for massive lesion detection in mammography is presented. The algorithm consists in three main steps : 1) reduction of the dimension of the image to be processed through the identifi cation of regions of interest (rois) as candidates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47d170f7e7aae78ae330b0ad7e32258e
http://www.scopus.com/inward/record.url?eid=2-s2.0-20344396360&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-20344396360&partnerID=MN8TOARS
Autor:
G. Gargano, Donato Cascio, Sandro Squarcia, I. De Mitri, Alessandra Retico, Daniele Grosso, E. Tommasi, F. De Carlo, Sabina Tangaro, Bruno Golosio, P. Cerello, Roberto Bellotti, Pasquale Delogu, Sc Cheran, C. Fulcheri, Ezio Catanzariti
A computer-aided detection (CAD) system for the selection of lung nodules in computer tomography (CT) images is presented. The system is based on region growing (RG) algorithms and a new active contour model (ACM), implementing a local convex hull, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa8c771dbe900d50de24039d7a6524db
http://hdl.handle.net/10447/21586
http://hdl.handle.net/10447/21586
Autor:
Masala, G. L., Tangaro, S., Golosio, B., Oliva, P., Stumbo, S., Bellotti, R., Carlo, F., Gargano, G., Cascio, D., Fauci, F., Magro, R., Raso, G., Bottigli, U., Chincarini, A., Ivan De Mitri, Giorgio De Nunzio, Gori, I., Retico, A., Cerello, P., Cheran, S. C., Fulcheri, C., Lopez Torres, E.
Publikováno v:
Università del Salento-IRIS
In this work a comparison of different classification methods for the identification of mass lesions in digitized mammograms is performed. These methods, used in order to develop Computer Aided Detection (CAD) systems, have been implemented in the fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::99fd58e0ff4bd411e10dab299d44c63c
https://iris.unisalento.it/handle/11587/102965
https://iris.unisalento.it/handle/11587/102965