Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Peter R. Snoeren"'
Autor:
Peter R. Snoeren, Nico Karssemeijer
Publikováno v:
Medical Image Analysis, 11, 146-56
Medical Image Analysis, 11, 2, pp. 146-56
Medical Image Analysis, 11, 2, pp. 146-56
During the transition from traditional film-screen (FS) mammography to full-field digital (FFD) mammography, images from both modalities are used in hospitals and in mammography screening centers, as comparison of mammograms from subsequent examinati
Publikováno v:
IEEE Transactions on Medical Imaging, 25, 3, pp. 273-82
IEEE Transactions on Medical Imaging, 25, 273-82
IEEE Transactions on Medical Imaging, 25, 273-82
Contains fulltext : 51174.pdf (Publisher’s version ) (Open Access) A method is presented for estimation of dense breast tissue volume from mammograms obtained with full-field digital mammography (FFDM). The thickness of dense tissue mapping to a pi
Autor:
Peter R. Snoeren, Cornelia M. Schaefer-Prokop, Laurens Hogeweg, Bram Platel, Bram van Ginneken, Nico Karssemeijer, Maurice Samulski
Publikováno v:
SPIE Proceedings.
Background. Contrary to what may be expected, nding abnormalities in complex images like pulmonarynodules in chest radiographs is not dominated by time-consuming search strategies but by an almost immediateglobal interpretation. This was already kn
Autor:
Matthew G. Wallis, Christine Tanner, Karin Leifland, Maurice Samulski, Guido van Schie, Peter R. Snoeren, Nico Karssemeijer
Publikováno v:
Physics in Medicine and Biology, 56, 4715-30
Physics in Medicine and Biology, 56, 15, pp. 4715-30
Physics in Medicine and Biology, 56, 15, pp. 4715-30
Item does not contain fulltext To improve cancer detection in mammography, breast examinations usually consist of two views per breast. In order to combine information from both views, corresponding regions in the views need to be matched. In 3D digi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3700dcf7bbc545a95961d20aafad29f
http://hdl.handle.net/2066/97763
http://hdl.handle.net/2066/97763
Autor:
Nico Karssemeijer, Peter R. Snoeren
Publikováno v:
Digital Mammography ISBN: 9783540784494
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07cb6a21c706233e57f8d537820fee6a
https://doi.org/10.1007/978-3-540-78450-0_5
https://doi.org/10.1007/978-3-540-78450-0_5
Publikováno v:
Information processing in medical imaging : proceedings of the ... conference. 19
A method is proposed for converting digitized mammograms to a normalized representation, in which pixel values are linearly related to the logarithm of x-ray exposure. This method is based on a signal dependent noise model. By exploiting this model u
Autor:
Jan H. C. L. Hendriks, Sander van Woudenberg, Brigitte Séradour, Hans Junkermann, Nico Karssemeijer, Christian Beck, Peter R. Snoeren, Marco Rosselli Del Turco, Nils Bjurstam, Nora Wedekind, Carl J. G. Evertsz, Antonius A J Roelofs, David Beijerinck
Publikováno v:
Radiology. 242(1)
To retrospectively determine the influence of comparing current mammograms with prior mammograms on breast cancer detection in screening and to investigate a protocol in which prior mammograms are viewed only when necessary.Institutional review board
Autor:
Nico Karssemeijer, Peter R. Snoeren
Publikováno v:
Medical Imaging: Image Processing
Without image processing, the dynamic range of display systems is too small to optimally display both the interior and the peripheral zone of a compressed breast. To overcome manual adjustment of contrast, we propose an algorithm for peripheral enhan
Publikováno v:
SPIE Proceedings.
In mammography, computer-aided diagnosis (CAD) techniques for mass detection and classification mainly use local image information to determine whether a region is abnormal or not. There is a lot of interest in developing CAD methods that use context
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540265450
IPMI
IPMI
A method is proposed for converting digitized mammograms to a normalized representation, in which pixel values are linearly related to the logarithm of x-ray exposure. This method is based on a signal dependent noise model. By exploiting this model u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88dc387edb993919679b2f75d4da339c
https://doi.org/10.1007/11505730_22
https://doi.org/10.1007/11505730_22