Presses universitaires de Louvain onixsuitesupport@onixsuite.com 20260405T0823Z eng

COM.ONIXSUITE.9782874630989 03 01 Presses universitaires de Louvain 01 SKU 77016 02 2874630985 03 9782874630989 15 9782874630989 02 01 00 BC 01 8.27 in 02 5.83 in 03 0.97 in 08 8.06 oz 01 21 cm 02 14.80 cm 03 0.97 cm 08 229 gr BE 10 01 02 SIMILAR 01 01 Computer-aided Diagnosis of Pulmonary Embolism in Opacified CT Images 1 A01 01 Onixsuite Contributor ID 5444 Raphaël Sebbe Sebbe, Raphaël Raphaël Sebbe 2 B01 01 Onixsuite Contributor ID 5403 Similar Similar Similar 1 01 eng 00 168 03 10 COM000000 24 INTERNET Divers 24 INTERNET Radiologie et imagerie medicale 29 2012 3238 Réseaux et Télécommunications 93 TJK 01 06 03 00 Pulmonary embolism (PE) is an extremely common and highly lethal condition that is a leading cause of death in all age groups. Over the past 10 years, computed tomography (CT) scanners have gained acceptance as a minimally invasive method for diagnosing PE. In this book, a framework for computer-aided diagnosis of PE in contrast-enhanced CT images is presented. It consists of a combination of a method for segmenting the pulmonary arteries (PA), emboli detection methods as well as a scheme for evaluating their performances. The segmentation of the PA serves one of the clot detection methods, and is carried out through a region growing method that makes use of a priori knowledge of vessel topology. Two different approaches for clot detection are proposed: the first one performs clot detection by analyzing the concavities in the segmentation of the pulmonary arterial tree. It works in a semi-automatic way and it enables the detection of thrombi in the larger sections of the PA. The second method does not make use of PA segmentation and is thus fully automatic, enabling detection of clots farther in the vessels. The combination of these methods provides a robust detection technique that can be used as a safeguard by radiologists, or even as preliminary computer-aided diagnosis (CAD) tool. The evaluation of the method is also discussed, and a scheme for measuring its performance is proposed, including a practical approach to making reference detection data, or ground truths, by radiologists. 02 00 Pulmonary embolism (PE) is an extremely common and highly lethal condition that is a leading cause of death in all age groups. Over the past 10 years, computed tomography (CT) scanners have gained acceptance as a minimally invasive method... 03 00 Pulmonary embolism (PE) is an extremely common and highly lethal condition that is a leading cause of death in all age groups. Over the past 10 years, computed tomography (CT) scanners have gained acceptance as a minimally invasive method for diagnosing PE. In this book, a framework for computer-aided diagnosis of PE in contrast-enhanced CT images is presented. It consists of a combination of a method for segmenting the pulmonary arteries (PA), emboli detection methods as well as a scheme for evaluating their performances. The segmentation of the PA serves one of the clot detection methods, and is carried out through a region growing method that makes use of a priori knowledge of vessel topology. Two different approaches for clot detection are proposed: the first one performs clot detection by analyzing the concavities in the segmentation of the pulmonary arterial tree. It works in a semi-automatic way and it enables the detection of thrombi in the larger sections of the PA. The second method does not make use of PA segmentation and is thus fully automatic, enabling detection of clots farther in the vessels. The combination of these methods provides a robust detection technique that can be used as a safeguard by radiologists, or even as preliminary computer-aided diagnosis (CAD) tool. The evaluation of the method is also discussed, and a scheme for measuring its performance is proposed, including a practical approach to making reference detection data, or ground truths, by radiologists. 02 00 Pulmonary embolism (PE) is an extremely common and highly lethal condition that is a leading cause of death in all age groups. Over the past 10 years, computed tomography (CT) scanners have gained acceptance as a minimally invasive method for... 16 00 SIMILAR is a network of excellence dedicated to multimodal interfaces research and supported by the 6th Framework of the European Commission. It gathers 32 European leading institutions from the human-computer interaction and signal processing fields. 16 00 SIMILAR is a network of excellence dedicated to multimodal interfaces research and supported by the 6th Framework of the European Commission. It gathers 32 European leading institutions from the human-computer interaction and signal processing fields. 17 00 <p> SIMILAR is a network of excellence dedicated to multimodal interfaces research and supported by the 6th Framework of the European Commission. It gathers 32 European leading institutions from the human-computer interaction and signal processing fields.SIMILAR builds the foundations for future multimodal interfaces that respond efficiently to speech, gestures, vision, haptics and direct brain connections.Eight Special Interest Groups share the various short term tasks. Details are available at www.similar.cc.</p> 17 00 <p> SIMILAR is a network of excellence dedicated to multimodal interfaces research and supported by the 6th Framework of the European Commission. It gathers 32 European leading institutions from the human-computer interaction and signal processing fields.SIMILAR builds the foundations for future multimodal interfaces that respond efficiently to speech, gestures, vision, haptics and direct brain connections.Eight Special Interest Groups share the various short term tasks. Details are available at www.similar.cc.</p> 01 00 03 02 01 D502 02 179 03 125 06 54395a591d9a396cc925fc82a88ff04e 07 14072 https://pul.uclouvain.be/resources/titles/29303100568200/images/1458c6647dbf7cca56dff7bfe0576ebb/THUMBNAIL/9782874630989.jpg 17 20160216T0950Z 15 00 04 02 Texte intégral en PDF à télécharger gratuitement 02 01 E107 07 2438527000 https://pul.uclouvain.be/resources/titles/29303100568200/extras/77016similatheseintv2_1005261.pdf 06 3052405007518 Presses universitaires de Louvain 01 01 Dilicom PULOUVAIN 06 3052405007518 Presses universitaires de Louvain Louvain-la-Neuve BE 04 01 20070101 11 20070101 01 WORLD 02 01 GCOI 29303100568200 WORLD 00 03 06 3012405004818 CIACO - DUC 01 2 20 1 02 00 02 02 STD 02 10.50 01 R 6.00 9.91 0.59 EUR BE FR 00 02 06 3019000200508 Librairie Wallonie-Bruxelles 33 www.librairiewb.com/ http://www.librairiewb.com/ 01 2 20 1 04 00 02 02 STD 02 10.50 01 R 5.50 9.95 0.55 EUR