Zobrazeno 1 - 10
of 35
pro vyhledávání: '"J. A. Perez-Carrasco"'
Autor:
J.L. Lopez Guerra, Cristina Suárez-Mejías, J. A. Perez-Carrasco, C. Serrano, O. Muñoz Muñoz, M. Perucha, B. Acha, B.D. Delgado Leon, P. Gómez-Millán
Publikováno v:
Radiotherapy and Oncology. 161:S1554-S1555
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3475eacd4a7ed9328af91271db14b190
https://doi.org/10.1016/s0167-8140(21)08275-x
https://doi.org/10.1016/s0167-8140(21)08275-x
Autor:
J. Bernabeu‐Wittel, J. A. Perez-Carrasco, Juan A. Lenero-Bardallo, Begoña Acha, Carmen Serrano
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
Vascular malformations classification may pose a diagnostic challenge for physicians. In the early stages, they are diagnosed clinically mainly by visual inspection. For a deeper analysis, Doppler ultrasonography is the preferred technique to determi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8817ebaebd8665d80716783010a9987d
http://hdl.handle.net/10261/251387
http://hdl.handle.net/10261/251387
Autor:
Cristina Suárez-Mejías, Jose Luis Lopez-Guerra, Carmen Serrano, Begoña Acha, J. A. Perez-Carrasco
Publikováno v:
Computer Methods and Programs in Biomedicine. 156:85-95
Background and objectives The segmentation of muscle and bone structures in CT is of interest to physicians and surgeons for surgical planning, disease diagnosis and/or the analysis of fractures or bone/muscle densities. Recently, the issue has been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::648b20761f0a75b55fa51e04ad9cfd7f
https://doi.org/10.1016/j.cmpb.2017.12.027
https://doi.org/10.1016/j.cmpb.2017.12.027
Publikováno v:
IFMBE Proceedings ISBN: 9783030316341
Segmentation of muscle and bone structures in CT volumes is a complicated task for physicians and surgeons due to the similarity of Hounsfield values with those within surrounding organs. The lack of efficient and automatic tools for this task makes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22bfcc866b071bb73806f6dc4c4df954
https://doi.org/10.1007/978-3-030-31635-8_48
https://doi.org/10.1007/978-3-030-31635-8_48
Publikováno v:
IFMBE Proceedings ISBN: 9783030316341
An accurate segmentation of pigmented lesions may improve classification results of Computer Aided Diagnosis (CAD) tools. Thus, finding a reliable segmentation methodology becomes crucial. During the past few years, many segmentation methodologies of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3391611276c0deb3cce435fcbeb3a68b
https://doi.org/10.1007/978-3-030-31635-8_51
https://doi.org/10.1007/978-3-030-31635-8_51
Autor:
R. A. Lopez-Garcia, Tomás Gómez-Cía, J. A. Perez-Carrasco, Begoña Acha, Carmen Serrano, Carlos Javier Quiñones Delgado
Publikováno v:
Computerized Medical Imaging and Graphics. 40:128-137
Lipodystrophy is a pathological condition characterized by the focal or general absence of adipose tissue. Surgeons reset the patient's surface contours using injectable materials to recreate a normal physical appearance. However, due to difficulties
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c9a9608401f03ffe6080fc9b0ec91e3
https://doi.org/10.1016/j.compmedimag.2014.12.007
https://doi.org/10.1016/j.compmedimag.2014.12.007
Publikováno v:
IEEE Transactions on Image Processing. 22:5322-5335
This paper presents the first framework capable of performing active contour segmentation using Earth Mover's Distance (EMD) to measure dissimilarity between multidimensional feature distributions. EMD is the best known and understood cross-bin histo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::293650032e6f79ee8bb18d3770bcb96a
https://doi.org/10.1109/tip.2013.2279952
https://doi.org/10.1109/tip.2013.2279952
Publikováno v:
XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016 ISBN: 9783319327013
Segmentation of muscles in CT volumes is a complicated task even for experts due to their Hounsfield values, which are close to those of surrounding organs. Surgeons and physicians usually prefer to segment them manually due to the lack of efficient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::791268e347757f2ffb67620c6a67f169
https://doi.org/10.1007/978-3-319-32703-7_66
https://doi.org/10.1007/978-3-319-32703-7_66
Autor:
J. A. Perez-Carrasco, Begoña Acha, Jose Luis Lopez-Guerra, Carmen Serrano, Tomás Gómez-Cía, Cristina Suárez-Mejías, Carlos Luis Parra-Calderón
Publikováno v:
Medicalbiological engineeringcomputing. 55(1)
An innovative algorithm has been developed for the segmentation of retroperitoneal tumors in 3D radiological images. This algorithm makes it possible for radiation oncologists and surgeons semiautomatically to select tumors for possible future radiat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ca26efdb4e295c1b9c31c1a5f6ec293
https://pubmed.ncbi.nlm.nih.gov/27099157
https://pubmed.ncbi.nlm.nih.gov/27099157
Publikováno v:
Medical Imaging: Image Processing
In this paper an algorithm to carry out the automatic segmentation of bone structures in 3D CT images has been implemented. Automatic segmentation of bone structures is of special interest for radiologists and surgeons to analyze bone diseases or to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4da07f1a2f3113e173dd0680d9d58d30
https://doi.org/10.1117/12.2082139
https://doi.org/10.1117/12.2082139