onr:"swepub:oai:DiVA.org:liu-95876"
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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 06544naa a2200805 4500 | |
| 001 | oai:DiVA.org:liu-95876 | |
| 003 | SwePub | |
| 008 | 130805s2013 | |||||||||||000 ||eng| | |
| 009 | oai:DiVA.org:kth-258850 | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-958762 URI |
| 024 | 7 | a https://doi.org/10.1016/j.media.2013.05.0072 DOI |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-2588502 URI |
| 040 | a (SwePub)liud (SwePub)kth | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a art2 swepub-publicationtype |
| 100 | 1 | a Kirişli, Hortenseu Erasmus MC, Rotterdam, The Netherlands,Biomedical Imaging Group Rotterdam4 aut |
| 245 | 1 0 | a Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography |
| 264 | 1 | b Elsevier,c 2013 |
| 338 | a print2 rdacarrier | |
| 500 | a QC 20191025 | |
| 520 | a Though conventional coronary angiography (CCA) has been the standard of reference for diagnosing coronary artery disease in the past decades, computed tomography angiography (CIA) has rapidly emerged, and is nowadays widely used in clinical practice. Here, we introduce a standardized evaluation framework to reliably evaluate and compare the performance of the algorithms devised to detect and quantify the coronary artery stenoses, and to segment the coronary artery lumen in CIA data. The objective of this evaluation framework is to demonstrate the feasibility of dedicated algorithms to: (I) (semi-)automatically detect and quantify stenosis on CIA, in comparison with quantitative coronary angiography (QCA) and CIA consensus reading, and (2) (semi-)automatically segment the coronary lumen on CIA, in comparison with expert's manual annotation. A database consisting of 48 multicenter multivendor cardiac CIA datasets with corresponding reference standards are described and made available. The algorithms from 11 research groups were quantitatively evaluated and compared. The results show that (1) some of the current stenosis detection/quantification algorithms may be used for triage or as a second-reader in clinical practice, and that (2) automatic lumen segmentation is possible with a precision similar to that obtained by experts. The framework is open for new submissions through the website, at http://coronary.bigr.nl/stenoses/. | |
| 650 | 7 | a TEKNIK OCH TEKNOLOGIERx Medicinteknikx Medicinsk bildbehandling0 (SwePub)206032 hsv//swe |
| 650 | 7 | a ENGINEERING AND TECHNOLOGYx Medical Engineeringx Medical Image Processing0 (SwePub)206032 hsv//eng |
| 653 | a Standardized evaluation framework; Coronary arteries; Computed tomography angiography (CTA); stenoses detection; stenoses quantification | |
| 700 | 1 | a Schaap, M.u Erasmus MC, Rotterdam, The Netherlands,Toshiba Medical Visualization Systems, Edinburgh, UK4 aut |
| 700 | 1 | a Metz, C. T.u Erasmus MC, Rotterdam, The Netherlands4 aut |
| 700 | 1 | a Dharampal, A. S.u Erasmus MC, Rotterdam, The Netherlands4 aut |
| 700 | 1 | a Meijboom, W. B.u Erasmus MC, Rotterdam, The Netherlands4 aut |
| 700 | 1 | a Papadopoulou, S. L.u Erasmus MC, Rotterdam, The Netherlands4 aut |
| 700 | 1 | a Dedic, A.u Erasmus MC, Rotterdam, The Netherlands4 aut |
| 700 | 1 | a Nieman, K.u Erasmus MC, Rotterdam, The Netherlands4 aut |
| 700 | 1 | a de Graaf, M. A.u Leiden UMC, The Netherlands4 aut |
| 700 | 1 | a Meijs, M. F. L.u UMC Utrecht, The Netherlands4 aut |
| 700 | 1 | a Cramer, M. J.u UMC Utrecht, The Netherlands4 aut |
| 700 | 1 | a Broersen, A.u Leiden UMC, The Netherlands4 aut |
| 700 | 1 | a Cetin, S.u SabancıUniversity, Turkey4 aut |
| 700 | 1 | a Eslami, A.u Technical University of Munich, Germany4 aut |
| 700 | 1 | a Flórez-Valencia, L.u Pontificia Universidad Javeriana, Bogotá, Colombia4 aut |
| 700 | 1 | a Lor, K.L.u National Taiwan University, Taipei, Taiwan4 aut |
| 700 | 1 | a Matuszewski, B.u University of Central Lancashire, Preston, UK4 aut |
| 700 | 1 | a Melki, I.u Université Paris-Est, France4 aut |
| 700 | 1 | a Mohr, B.u Toshiba Medical Visualization Systems, Edinburgh, UK4 aut |
| 700 | 1 | a Öksüz, I.u Bahçeşehir University, Istanbul, Turkey4 aut |
| 700 | 1 | a Shahzad, R.u Erasmus MC, Rotterdam The Netherlands4 aut |
| 700 | 1 | a Wang, Chunliangu Linköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Avdelningen för radiologiska vetenskaper,Hälsouniversitetet,Center for Medical Imaging Science and Visualization, Dept.of Medical and Health Sciences, Linköping University, Linköping4 aut0 (Swepub:kth)u1tbkeej |
| 700 | 1 | a Kitslaar, P. H.u Leiden UMC, The Netherlands4 aut |
| 700 | 1 | a Unal, G.u Sabancı University, Turkey4 aut |
| 700 | 1 | a Katouzian, A.u Technical University of Munich, Germany4 aut |
| 700 | 1 | a Orkisz, M.u Université de Lyon, France4 aut |
| 700 | 1 | a Chen, C.M.u National Taiwan University, Taipei, Taiwan4 aut |
| 700 | 1 | a Precioso, F.u University Nice-Sophia Antipolis, France4 aut |
| 700 | 1 | a Najman, L.u Université Paris-Est, France4 aut |
| 700 | 1 | a Masood, S.u Toshiba Medical Visualization Systems, Edinburgh, UK4 aut |
| 700 | 1 | a Ünay, D.u Bahçeşehir University, Istanbul, Turkey4 aut |
| 700 | 1 | a van Vliet, L.u Delft University of Technology, The Netherlands4 aut |
| 700 | 1 | a Moreno, Rodrigo,d 1973-u Linköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Avdelningen för radiologiska vetenskaper,Hälsouniversitetet4 aut0 (Swepub:liu)rodmo29 |
| 700 | 1 | a Goldenberg, R.u Rcadia Medical Imaging, Haïfa, Israel4 aut |
| 700 | 1 | a Vuçini, E.u VRVis Research Center for Virtual Reality and Visualization, Vienna, Austria4 aut |
| 700 | 1 | a Krestin, G. P.u Erasmus MC, Rotterdam, The Netherlands4 aut |
| 700 | 1 | a Niessen, W. J.u Erasmus MC, Rotterdam, The Netherlands4 aut |
| 700 | 1 | a van Walsum, T.u Erasmus MC, Rotterdam, The Netherlands4 aut |
| 700 | 1 | a Kiri\csli, H A4 aut |
| 710 | 2 | a Erasmus MC, Rotterdam, The Netherlandsb Biomedical Imaging Group Rotterdam4 org |
| 773 | 0 | t Medical Image Analysisd : Elsevierg 17:8, s. 859-876q 17:8<859-876x 1361-8415x 1361-8423 |
| 856 | 4 | u https://hal.archives-ouvertes.fr/hal-00874107/file/hkirisli_MedIA_Challenge_R2.pdf |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-95876 |
| 856 | 4 8 | u https://doi.org/10.1016/j.media.2013.05.007 |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-258850 |
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