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Artykuły w czasopismach na temat "Segmentation des images échographiques"
Tourasse, C., A. Coulon i J. F. Dénier. "Corrélations radio-histologiques des images subtiles échographiques". Journal de Radiologie Diagnostique et Interventionnelle 95, nr 2 (luty 2014): 186–200. http://dx.doi.org/10.1016/j.jradio.2013.12.004.
Pełny tekst źródłaDhombres, F., S. Friszer, R. Bessis i J. M. Jouannic. "Une auto-évaluation simplifiée des images échographiques du premier trimestre". Gynécologie Obstétrique & Fertilité 43, nr 12 (grudzień 2015): 761–66. http://dx.doi.org/10.1016/j.gyobfe.2015.09.006.
Pełny tekst źródłaBetrouni, N., M. Vermandel, D. Pasquier, R. Viard i S. Maouche. "Réduction de speckle et modélisation pour la segmentation d'images échographiques de la prostate". ITBM-RBM 26, nr 4 (wrzesień 2005): 276–78. http://dx.doi.org/10.1016/j.rbmret.2005.06.014.
Pełny tekst źródłaZaart. "Skin Images Segmentation". Journal of Computer Science 6, nr 2 (1.02.2010): 217–23. http://dx.doi.org/10.3844/jcssp.2010.217.223.
Pełny tekst źródłaPatel, Punam, i Shamik Tiwari. "Text Segmentation from Images". International Journal of Computer Applications 67, nr 19 (18.04.2013): 25–28. http://dx.doi.org/10.5120/11505-7222.
Pełny tekst źródłaAhmad, Khairul Adilah, Sharifah Lailee Syed Abdullah i Mahmod Othman. "Natural Images Contour Segmentation". Journal of Computing Research and Innovation 2, nr 4 (30.01.2018): 39–47. http://dx.doi.org/10.24191/jcrinn.v2i4.62.
Pełny tekst źródłaLawand, Komal. "Segmentation of Dermoscopic Images". IOSR Journal of Engineering 4, nr 4 (kwiecień 2014): 16–20. http://dx.doi.org/10.9790/3021-04461620.
Pełny tekst źródłaVÉHEL, JACQUES LÉVY, i PASCAL MIGNOT. "MULTIFRACTAL SEGMENTATION OF IMAGES". Fractals 02, nr 03 (wrzesień 1994): 371–77. http://dx.doi.org/10.1142/s0218348x94000466.
Pełny tekst źródłaMusatian, S. A., A. V. Lomakin, S. Yu Sartasov, L. K. Popyvanov, I. B. Monakhov i A. S. Chizhova. "Medical Images Segmentation Operations". Proceedings of the Institute for System Programming of the RAS 30, nr 4 (2018): 183–94. http://dx.doi.org/10.15514/ispras-2018-30(4)-12.
Pełny tekst źródłaTaxt, T., P. J. Flynn i A. K. Jain. "Segmentation of document images". IEEE Transactions on Pattern Analysis and Machine Intelligence 11, nr 12 (grudzień 1989): 1322–29. http://dx.doi.org/10.1109/34.41371.
Pełny tekst źródłaRozprawy doktorskie na temat "Segmentation des images échographiques"
Dhibi, Mounir. "Segmentation et quantification volumique des thromboses veineuses : application aux images échographiques". Télécom Bretagne, 2006. http://www.theses.fr/2006TELB0014.
Pełny tekst źródłaDahdouh, Sonia. "Filtrage, segmentation et suivi d'images échographiques : applications cliniques". Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00647326.
Pełny tekst źródłaTauber, Clovis. "Filtrage anisotrope robuste et segmentation par B-spline snake : application aux images échographiques". Phd thesis, Toulouse, INPT, 2005. http://oatao.univ-toulouse.fr/7357/1/tauber1.pdf.
Pełny tekst źródłaPaulhac, Ludovic. "Outils et méthodes d'analyse d'images 3D texturées : application à la segmentation des images échographiques". Phd thesis, Université François Rabelais - Tours, 2009. http://tel.archives-ouvertes.fr/tel-00576507.
Pełny tekst źródłaIonescu, Gelu. "Segmentation et recalage d'images échographiques par utilisation de connaissances physiologiques et morphologiques". Phd thesis, Université Joseph Fourier (Grenoble), 1998. http://tel.archives-ouvertes.fr/tel-00005189.
Pełny tekst źródłaGarnier, Carole. "Segmentation de la prostate pour la thérapie par Ultrasons Haute Intensité guidée par l'image". Phd thesis, Université Rennes 1, 2009. http://tel.archives-ouvertes.fr/tel-00498035.
Pełny tekst źródłaSandoval, Niño Zulma. "Planning and guidance of ultrasound guided High Intensity Focused Ultrasound cardiac arrhythmia therapy". Thesis, Rennes 1, 2015. http://www.theses.fr/2015REN1S044/document.
Pełny tekst źródłaThe work presented in this document aims at developing new image-processing methods to improve the planning and guidance of transesophageal HIFU atrial fibrillation therapy. This document is divided into two parts, namely therapy planning and therapy guidance. We first propose novel therapy planning methods that exploit high-resolution pre-operative CT or MRI information to extract patient-specific anatomical details and to define future therapeutic procedures. Our specific methodological contributions concern the following: an automatically-refined atlas-based segmentation approach to extract the left atrium and pulmonary veins; the delineation of the lesion lines on the original or segmented volume; and the reconstruction of a volume adapted to future intraoperative transesophageal navigation. Secondly, our proposal of a novel registration approach for use in therapy guidance aligns intraoperative 2D ultrasound with preoperative 3D CT information. This approach first carries out a systematic statistical evaluation to select the best similarity measure for our application and then takes advantage of the geometrical constraints of the transesophageal HIFU probe to simplify the registration process. Our proposed methods have been evaluated on digital and/or physical phantoms and on real clinical data
Leclerc, Sarah Marie-Solveig. "Automatisation de la segmentation sémantique de structures cardiaques en imagerie ultrasonore par apprentissage supervisé". Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI121.
Pełny tekst źródłaThe analysis of medical images plays a critical role in cardiology. Ultrasound imaging, as a real-time, low cost and bed side applicable modality, is nowadays the most commonly used image modality to monitor patient status and perform clinical cardiac diagnosis. However, the semantic segmentation (i.e the accurate delineation and identification) of heart structures is a difficult task due to the low quality of ultrasound images, characterized in particular by the lack of clear boundaries. To compensate for missing information, the best performing methods before this thesis relied on the integration of prior information on cardiac shape or motion, which in turns reduced the adaptability of the corresponding methods. Furthermore, such approaches require man- ual identifications of key points to be adapted to a given image, which makes the full process difficult to reproduce. In this thesis, we propose several original fully-automatic algorithms for the semantic segmentation of echocardiographic images based on supervised learning ap- proaches, where the resolution of the problem is automatically set up using data previously analyzed by trained cardiologists. From the design of a dedicated dataset and evaluation platform, we prove in this project the clinical applicability of fully-automatic supervised learning methods, in particular deep learning methods, as well as the possibility to improve the robustness by incorporating in the full process the prior automatic detection of regions of interest
Assadzadeh, Djafar. "Traitement des images échographiques". Paris 13, 1986. http://www.theses.fr/1986PA132013.
Pełny tekst źródłaMeghoufel, Ali. "Analyse des images échographiques du tendon équin". Mémoire, École de technologie supérieure, 2011. http://espace.etsmtl.ca/889/1/MEGHOUFEL_Ali.pdf.
Pełny tekst źródłaKsiążki na temat "Segmentation des images échographiques"
Gorte, Ben. Probabilistic segmentation of remotely sensed images. Enschede: International Institute for Aerospace Survey and Earth Sciences (ITC), 1998.
Znajdź pełny tekst źródłaBanik, Shantanu, Rangaraj M. Rangayyan i Graham S. Boag. Landmarking and Segmentation of 3D CT Images. Cham: Springer International Publishing, 2009. http://dx.doi.org/10.1007/978-3-031-01635-6.
Pełny tekst źródłaZuluaga, Maria A., Kanwal Bhatia, Bernhard Kainz, Mehdi H. Moghari i Danielle F. Pace, red. Reconstruction, Segmentation, and Analysis of Medical Images. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52280-7.
Pełny tekst źródłaTuckett, Nicholas M. Maximum gradient profile segmentation of gesture images. Manchester: UMIST, 1995.
Znajdź pełny tekst źródłaGriffiths, Jane Edisbury. Market segmentation and the corporate images of grocery retailers. Manchester: University of Manchester, 1996.
Znajdź pełny tekst źródłaZhuang, Xiahai, i Lei Li, red. Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65651-5.
Pełny tekst źródłaAnil, Phatak, Chatterji Gano i Ames Research Center, red. Scene segmentation of natural images using texture measures and back-propagation. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1993.
Znajdź pełny tekst źródłaNoltimier, Katy Farness. Geological analysis of ERS-1 SAR mosaic: Implications for the tectonic segmentation of the Antarctic Peninsula. Columbus, Ohio: Byrd Polar Research Center, Ohio State University, 1998.
Znajdź pełny tekst źródłaAbkar, Ali Akbar. Likelihood-based segmentation and classification of remotely sensed images: A Bayesian optimization approach for combining RS and GIS. Enschede, The Netherlands: International Institute for Aerospace Survey and Earth Sciences, 1999.
Znajdź pełny tekst źródłaBloomquist, James D. Hierarchical image segmentation to infrared images. 1985.
Znajdź pełny tekst źródłaCzęści książek na temat "Segmentation des images échographiques"
Stanescu, Liana, Dumitru Dan Burdescu, Marius Brezovan i Cristian Gabriel Mihai. "Medical Images Segmentation". W SpringerBriefs in Electrical and Computer Engineering, 15–43. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1909-9_3.
Pełny tekst źródłaBergounioux, Maïtine. "Segmentation". W Introduction au traitement mathématique des images - méthodes déterministes, 97–136. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46539-4_5.
Pełny tekst źródłaHoogs, Anthony, i Ruzena Bajcsy. "Segmentation modeling". W Computer Analysis of Images and Patterns, 808–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60268-2_385.
Pełny tekst źródłaStokman, With contributions by Harro M. G. "Segmentation of Multispectral Images". W Color in Computer Vision, 318–38. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118350089.ch18.
Pełny tekst źródłaPavlidis, George. "Segmentation of Digital Images". W Mixed Raster Content, 213–60. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2830-4_3.
Pełny tekst źródłaSetarehdan, S. K., i John J. Soraghan. "Segmentation in Echocardiographic Images". W Advanced Algorithmic Approaches to Medical Image Segmentation, 64–130. London: Springer London, 2002. http://dx.doi.org/10.1007/978-0-85729-333-6_2.
Pełny tekst źródłaBanik, Shantanu, Rangaraj M. Rangayyan i Graham S. Boag. "Image Segmentation". W Landmarking and Segmentation of 3D CT Images, 9–42. Cham: Springer International Publishing, 2009. http://dx.doi.org/10.1007/978-3-031-01635-6_2.
Pełny tekst źródłaKimmel, Ron. "2D and 3D Image Segmentation". W Numerical Geometry of Images, 123–40. New York, NY: Springer New York, 2004. http://dx.doi.org/10.1007/978-0-387-21637-9_9.
Pełny tekst źródłaHaindl, Michal, i Pavel Žid. "Fast segmentation of range images". W Image Analysis and Processing, 295–302. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63507-6_214.
Pełny tekst źródłaCuevas, Erik, Valentín Osuna i Diego Oliva. "Multilevel Segmentation in Digital Images". W Evolutionary Computation Techniques: A Comparative Perspective, 9–33. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-51109-2_2.
Pełny tekst źródłaStreszczenia konferencji na temat "Segmentation des images échographiques"
Ameur, Meryem, Cherki Daoui i Najlae Idrissi. "Fast Markovian Images Segmentation". W 2020 IEEE 6th International Conference on Optimization and Applications (ICOA). IEEE, 2020. http://dx.doi.org/10.1109/icoa49421.2020.9094479.
Pełny tekst źródłaVerdenskaya, N. V., V. V. Sazonov, I. A. Ivanova, A. G. Yarovoyj i L. P. Ligthart. "Segmentation of GPR Images". W Proceedings of the 3rd European Radar Conference. IEEE, 2006. http://dx.doi.org/10.1109/eurad.2006.280269.
Pełny tekst źródłaBáez, Nery Javier Machado, Luis Vázquez Noguera i Horacio Legal Ayala. "Segmentation of melanoma images". W XXXV CNMAC - Congresso Nacional de Matemática Aplicada e Computacional. SBMAC, 2015. http://dx.doi.org/10.5540/03.2015.003.01.0125.
Pełny tekst źródłaAkram, Muhammad Usman, Anam Tariq i Sarwat Nasir. "Retinal images: Noise segmentation". W IEEE INMIC 2008. 12th IEEE International Multitopic Conference. IEEE, 2008. http://dx.doi.org/10.1109/inmic.2008.4777719.
Pełny tekst źródłaKrueger, Warren M. "Segmentation in blurred images". W SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, redaktorzy Joseph N. Wilson i David C. Wilson. SPIE, 1993. http://dx.doi.org/10.1117/12.146595.
Pełny tekst źródłaBones, Philip J., Todd C. Griffin i Chris M. Carey-Smith. "Segmentation of document images". W SC - DL tentative, redaktorzy Walter Bender i Mitsunaga Saito. SPIE, 1990. http://dx.doi.org/10.1117/12.19950.
Pełny tekst źródłaAl-Hujazi, Ezzet H., i Arun Sood. "Segmentation Of Range Images". W SPIE 1989 Technical Symposium on Aerospace Sensing, redaktor Mohan M. Trivedi. SPIE, 1989. http://dx.doi.org/10.1117/12.969274.
Pełny tekst źródłaŠvihlík, Jan, Stanislav Vítek, Karel Fliegel, Petr Páta i Elena Anisimova. "Segmentation of astronomical images". W SPIE Optical Engineering + Applications, redaktor Andrew G. Tescher. SPIE, 2014. http://dx.doi.org/10.1117/12.2062009.
Pełny tekst źródłaBarker, Simon A., Anil C. Kokaram i Peter J. W. Rayner. "Unsupervised segmentation of images". W SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, redaktor Ali Mohammad-Djafari. SPIE, 1998. http://dx.doi.org/10.1117/12.323800.
Pełny tekst źródłaTolstaya, Ekaterina, i Anton Egorov. "Segmentation of Seismic Images". W 31th International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2021. http://dx.doi.org/10.20948/graphicon-2021-3027-564-570.
Pełny tekst źródłaRaporty organizacyjne na temat "Segmentation des images échographiques"
Shah, Jayant. Object Oriented Segmentation of Images. Fort Belvoir, VA: Defense Technical Information Center, grudzień 1994. http://dx.doi.org/10.21236/ada290792.
Pełny tekst źródłaBlackston, Matthew, Deniz Aykac i Paul Hausladen. Progress Update on Segmentation of Neutron Tomographic Images, 2018. Office of Scientific and Technical Information (OSTI), wrzesień 2018. http://dx.doi.org/10.2172/1675057.
Pełny tekst źródłaHo, Leyton. ully Automated GrowCut-based Segmentation of Melanoma in Dermoscopic Images. Journal of Young Investigators, luty 2019. http://dx.doi.org/10.22186/jyi.36.2.11-17.
Pełny tekst źródłaQuinn, George W. An Open Source Iris Segmentation Algorithm for Non-ideal Images. Gaithersburg, MD: National Institute of Standards and Technology, 2024. http://dx.doi.org/10.6028/nist.ir.8516.
Pełny tekst źródłaLi, Qunhua, Chris Fraley, Roger E. Bumgarner, Ka Y. Yeung i Adrian E. Raftery. Donuts, Scratches and Blanks: Robust Model-Based Segmentation of Microarray Images. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2005. http://dx.doi.org/10.21236/ada454864.
Pełny tekst źródłaHe, Ping, i Jun Zheng. Segmentation of TIBIA Bone in Ultrasound Images Using Active Shape Models. Fort Belvoir, VA: Defense Technical Information Center, październik 2001. http://dx.doi.org/10.21236/ada412425.
Pełny tekst źródłaTadmor, Eitan, Suzanne Nezzar i Luminita Vese. Multiscale Hierarchical Decomposition of Images with Applications to Deblurring, Denoising and Segmentation. Fort Belvoir, VA: Defense Technical Information Center, listopad 2007. http://dx.doi.org/10.21236/ada489758.
Pełny tekst źródłaBai, Xue, i Guillermo Sapiro. Distancecut: Interactive Real-Time Segmentation and Matting of Images and Videos (PREPRINT). Fort Belvoir, VA: Defense Technical Information Center, styczeń 2007. http://dx.doi.org/10.21236/ada478494.
Pełny tekst źródłaMohan, Anish, Guillermo Sapiro i Edward Bosch. Spatially-Coherent Non-Linear Dimensionality Reduction and Segmentation of Hyper-Spectral Images (PREPRINT). Fort Belvoir, VA: Defense Technical Information Center, czerwiec 2006. http://dx.doi.org/10.21236/ada478496.
Pełny tekst źródłaHausladen, Paul. Oak Ridge National Laboratory Progress Update on Segmentation of Neutron Tomographic Images, 2017. Office of Scientific and Technical Information (OSTI), maj 2017. http://dx.doi.org/10.2172/1868506.
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