Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Hans, Frimmel"'
Publikováno v:
Analytical Cellular Pathology, Vol 23, Iss 3-4, Pp 159-165 (2001)
Objectives. When analysing the 3D structure of tissue, serial sectioning and staining of the resulting slices is sometimes the preferred option. This leads to severe registration problems. In this paper, a method for automatic registration and error
Externí odkaz:
https://doaj.org/article/970136c368034d0c8ac051de553c6be4
Publikováno v:
Pattern Recognition Letters. 76:67-75
First step in fully automatic high-speed vascular tree segmentation.Vascular skeleton is extracted directly from CT volume without preprocessing.Transferring the problem to a lower dimensional space improves the speed.Automatically adapts to CT value
This chapter focuses on skeleton detection for clinical evaluation of blood vessel systems. In clinical evaluation, there is a need for fast and accurate segmentation algorithms that can reliably p ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::826f9ba9029bf0bf1e413859d160fe8a
https://doi.org/10.1016/b978-0-08-101291-8.00014-6
https://doi.org/10.1016/b978-0-08-101291-8.00014-6
Autor:
Xiang Bai, Ewert Bengtsson, Gilles Bertrand, Isabelle Bloch, Gunilla Borgefors, Cheng Chen, Michel Couprie, Jens Fagertun, Alexandre Falcão, Cong Feng, Hans Frimmel, Debora Gil, Miguel Á. González Ballester, Eric A. Hoffman, Andrei Jalba, Dakai Jin, H.M. Kjer, Joost Koehoorn, T.Y. Kong, Jacek Kustra, Kristína Lidayová, Rasmus R. Paulsen, Punam K. Saha, Gabriella Sanniti di Baja, Luca Serino, Wei Shen, Örjan Smedby, Alexandru Telea, Sergio Vera, Chunliang Wang, Yan Wang, Jiang Yuan, Zhijiang Zhang, Kai Zhao
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3587fa8ca3859daaf7c4739fd0c3369c
https://doi.org/10.1016/b978-0-08-101291-8.00020-1
https://doi.org/10.1016/b978-0-08-101291-8.00020-1
Autor:
Kristína Lidayová, Örjan Smedby, Ida-Maria Sintorn, Anindya Gupta, Hans Frimmel, Ewert Bengtsson
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319609638
MIUA
MIUA
Recent advances in Computed Tomography Angiography provide high-resolution 3D images of the vessels. However, there is an inevitable requisite for automated and fast methods to process the increase ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c226b8c726b7f07503da85ccfd462c0a
https://doi.org/10.1007/978-3-319-60964-5_16
https://doi.org/10.1007/978-3-319-60964-5_16
Autor:
Kristína Lidayová, Duván Alberto Gómez Betancur, Hans Frimmel, Örjan Smedby, Marcela Hernández Hoyos, Maciej Orkisz
Publikováno v:
Image Analysis ISBN: 9783319591285
SCIA (2)
Scandinavian Conference on Image Analysis
Scandinavian Conference on Image Analysis, 2017, Tromsø, Norway. pp.76-87, ⟨10.1007/978-3-319-59129-2_7⟩
SCIA (2)
Scandinavian Conference on Image Analysis
Scandinavian Conference on Image Analysis, 2017, Tromsø, Norway. pp.76-87, ⟨10.1007/978-3-319-59129-2_7⟩
International audience; Acute respiratory distress syndrome (ARDS) is associated with a high mortality rate in intensive care units. To lower the number of fatal cases, it is necessary to customize the mechanical ventilator parameters according to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e003d78b6fee7a351b29a981b158d088
https://doi.org/10.1007/978-3-319-59129-2_7
https://doi.org/10.1007/978-3-319-59129-2_7
Publikováno v:
Journal of medical imaging (Bellingham, Wash.). 4(2)
Vascular segmentation plays an important role in the assessment of peripheral arterial disease. The segmentation is very challenging especially for arteries with severe stenosis or complete occlusion. We present a cascading algorithm for vascular cen
Autor:
Joakim Lindblad, Örjan Smedby, Chunliang Wang, Hans Frimmel, Natasa Sladoje, Kristína Lidayová
Publikováno v:
IPTA
We present a coverage segmentation method for extracting thin structures in three-dimensional images. The proposed method is an improved extension of our coverage segmentation method for 2D thin structures. We suggest implementation that enables low
Publikováno v:
Medical Physics. 32:2665-2672
We have developed a fully automated algorithm for colon segmentation, centerline-based segmentation (CBS), which is faster than any of the previously presented segmentation algorithms, but also has high sensitivity as well as high specificity. The al
Publikováno v:
Academic Radiology. 12:695-707
Region-based supine-prone correspondence for the reduction of false-positive CAD polyp candidates in CT colonography