Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Sata Busayarat"'
Autor:
Zrimec Tatjana, Sata Busayarat
Publikováno v:
Theory and Applications of CT Imaging and Analysis
High Resolution CT (HRCT) techniques developed in the last decade have become invaluable tools for the detection of subtle diffuse lung disease patterns and for their characterisation into multiple possible diseases. HRCT imaging protocols produce 3D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f18ecda9e5e049b11eea097457334eb
https://doi.org/10.5772/14507
https://doi.org/10.5772/14507
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
The interpretation of high-resolution computed tomography (HRCT) images of the chest showing disorders of the lung tissue associated with interstitial lung diseases (ILDs) is time-consuming and requires experience. Whereas automatic detection and qua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::736d4ce9c6a1d777bc83445a8385c7be
Autor:
Tatjana Zrimec, Sata Busayarat
Publikováno v:
11th Mediterranean Conference on Medical and Biomedical Engineering and Computing 2007 ISBN: 9783540730439
Lung surface is the result of lung segmentation, which is a very first step of any lung image analyses. Dividing lung surface into multiple parts according to its anatomical features provides better understanding of the lung and its functions. The pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58d13a33b974c0e196eeeb4f21481981
https://doi.org/10.1007/978-3-540-73044-6_213
https://doi.org/10.1007/978-3-540-73044-6_213
Autor:
Sata Busayarat, Tatjana Zrimec
Publikováno v:
Medical Imaging: Image Processing
Bronchopulmonary segments are valuable as they give more accurate localization than lung lobes. Traditionally, determining the segments requires segmentation and identification of segmental bronchi, which, in turn, require volumetric imaging data. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfc2d9da965c6d8a4fe8815e893ede87
https://doi.org/10.1117/12.709651
https://doi.org/10.1117/12.709651
Autor:
Sata Busayarat, Tatjana Zrimec
Publikováno v:
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006 ISBN: 9783540447276
MICCAI (2)
MICCAI (2)
Image registration is a fundamental problem in medical imaging. It is especially challenging in lung images compared, for example, with the brain. The challenges include large anatomical variations of human lung and a lack of fixed landmarks inside t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d948303237440093e43566a4ed2732f
https://doi.org/10.1007/11866763_82
https://doi.org/10.1007/11866763_82
Publikováno v:
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004 ISBN: 9783540229773
MICCAI (2)
MICCAI (2)
This paper presents a method for modelling human lungs using knowledge of lung anatomy and High Resolution CT images. The model consists of a symbolic anatomical structure map and an annotated 3D atlas. The model is implemented using Frame structures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efa880d77c95b8ca2d409db6d9127c6e
https://doi.org/10.1007/978-3-540-30136-3_143
https://doi.org/10.1007/978-3-540-30136-3_143
Autor:
Peter Wilson, Phil Lucas, Arcot Sowmya, James S. J. Wong, Mamatha Rudrapatna, George Kossoff, Sata Busayarat, Avishkar Misra, Tatjana Zrimec
Publikováno v:
SPIE Proceedings.
As part of the Learning Medical Imaging Knowledge project, we are developing a knowledge-based, machine learning and knowledge acquisition framework for systematic feature extraction and recognition of a range of lung diseases from High Resolution Co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3af8b16d2d90a94fd220ba44db2ac39
https://doi.org/10.1117/12.526290
https://doi.org/10.1117/12.526290
Autor:
Busayarat, S., Zrimec, T.
Publikováno v:
2005 ICSC Congress on Computational Intelligence Methods & Applications; 2005, p5-5, 1p
The 9th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2006, was held in Copenhagen, Denmark at the Tivoli Concert Hall with satellite workshops and tutorials at the IT University of Copenhagen, October
The 7th International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2004, was held in Saint-Malo, Brittany, France at the “Palais du Grand Large” conference center, September 26–29, 2004. The p- posaltohostMICCAI2004w