Literatura científica selecionada sobre o tema "Segmentation des images échographiques"
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Artigos de revistas sobre o assunto "Segmentation des images échographiques"
Tourasse, C., A. Coulon e J. F. Dénier. "Corrélations radio-histologiques des images subtiles échographiques". Journal de Radiologie Diagnostique et Interventionnelle 95, n.º 2 (fevereiro de 2014): 186–200. http://dx.doi.org/10.1016/j.jradio.2013.12.004.
Texto completo da fonteDhombres, F., S. Friszer, R. Bessis e J. M. Jouannic. "Une auto-évaluation simplifiée des images échographiques du premier trimestre". Gynécologie Obstétrique & Fertilité 43, n.º 12 (dezembro de 2015): 761–66. http://dx.doi.org/10.1016/j.gyobfe.2015.09.006.
Texto completo da fonteBetrouni, N., M. Vermandel, D. Pasquier, R. Viard e S. Maouche. "Réduction de speckle et modélisation pour la segmentation d'images échographiques de la prostate". ITBM-RBM 26, n.º 4 (setembro de 2005): 276–78. http://dx.doi.org/10.1016/j.rbmret.2005.06.014.
Texto completo da fonteZaart. "Skin Images Segmentation". Journal of Computer Science 6, n.º 2 (1 de fevereiro de 2010): 217–23. http://dx.doi.org/10.3844/jcssp.2010.217.223.
Texto completo da fontePatel, Punam, e Shamik Tiwari. "Text Segmentation from Images". International Journal of Computer Applications 67, n.º 19 (18 de abril de 2013): 25–28. http://dx.doi.org/10.5120/11505-7222.
Texto completo da fonteAhmad, Khairul Adilah, Sharifah Lailee Syed Abdullah e Mahmod Othman. "Natural Images Contour Segmentation". Journal of Computing Research and Innovation 2, n.º 4 (30 de janeiro de 2018): 39–47. http://dx.doi.org/10.24191/jcrinn.v2i4.62.
Texto completo da fonteLawand, Komal. "Segmentation of Dermoscopic Images". IOSR Journal of Engineering 4, n.º 4 (abril de 2014): 16–20. http://dx.doi.org/10.9790/3021-04461620.
Texto completo da fonteVÉHEL, JACQUES LÉVY, e PASCAL MIGNOT. "MULTIFRACTAL SEGMENTATION OF IMAGES". Fractals 02, n.º 03 (setembro de 1994): 371–77. http://dx.doi.org/10.1142/s0218348x94000466.
Texto completo da fonteMusatian, S. A., A. V. Lomakin, S. Yu Sartasov, L. K. Popyvanov, I. B. Monakhov e A. S. Chizhova. "Medical Images Segmentation Operations". Proceedings of the Institute for System Programming of the RAS 30, n.º 4 (2018): 183–94. http://dx.doi.org/10.15514/ispras-2018-30(4)-12.
Texto completo da fonteTaxt, T., P. J. Flynn e A. K. Jain. "Segmentation of document images". IEEE Transactions on Pattern Analysis and Machine Intelligence 11, n.º 12 (dezembro de 1989): 1322–29. http://dx.doi.org/10.1109/34.41371.
Texto completo da fonteTeses / dissertações sobre o assunto "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.
Texto completo da fonteDahdouh, 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.
Texto completo da fonteTauber, 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.
Texto completo da fontePaulhac, 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.
Texto completo da fonteIonescu, 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.
Texto completo da fonteGarnier, 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.
Texto completo da fonteSandoval, 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.
Texto completo da fonteThe 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.
Texto completo da fonteThe 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.
Texto completo da fonteMeghoufel, Ali. "Analyse des images échographiques du tendon équin". Mémoire, École de technologie supérieure, 2011. http://espace.etsmtl.ca/889/1/MEGHOUFEL_Ali.pdf.
Texto completo da fonteLivros sobre o assunto "Segmentation des images échographiques"
Gorte, Ben. Probabilistic segmentation of remotely sensed images. Enschede: International Institute for Aerospace Survey and Earth Sciences (ITC), 1998.
Encontre o texto completo da fonteBanik, Shantanu, Rangaraj M. Rangayyan e 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.
Texto completo da fonteZuluaga, Maria A., Kanwal Bhatia, Bernhard Kainz, Mehdi H. Moghari e Danielle F. Pace, eds. Reconstruction, Segmentation, and Analysis of Medical Images. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52280-7.
Texto completo da fonteTuckett, Nicholas M. Maximum gradient profile segmentation of gesture images. Manchester: UMIST, 1995.
Encontre o texto completo da fonteGriffiths, Jane Edisbury. Market segmentation and the corporate images of grocery retailers. Manchester: University of Manchester, 1996.
Encontre o texto completo da fonteZhuang, Xiahai, e Lei Li, eds. 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.
Texto completo da fonteAnil, Phatak, Chatterji Gano e Ames Research Center, eds. Scene segmentation of natural images using texture measures and back-propagation. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1993.
Encontre o texto completo da fonteNoltimier, 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.
Encontre o texto completo da fonteAbkar, 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.
Encontre o texto completo da fonteBloomquist, James D. Hierarchical image segmentation to infrared images. 1985.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Segmentation des images échographiques"
Stanescu, Liana, Dumitru Dan Burdescu, Marius Brezovan e Cristian Gabriel Mihai. "Medical Images Segmentation". In 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.
Texto completo da fonteBergounioux, Maïtine. "Segmentation". In 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.
Texto completo da fonteHoogs, Anthony, e Ruzena Bajcsy. "Segmentation modeling". In 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.
Texto completo da fonteStokman, With contributions by Harro M. G. "Segmentation of Multispectral Images". In Color in Computer Vision, 318–38. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118350089.ch18.
Texto completo da fontePavlidis, George. "Segmentation of Digital Images". In Mixed Raster Content, 213–60. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2830-4_3.
Texto completo da fonteSetarehdan, S. K., e John J. Soraghan. "Segmentation in Echocardiographic Images". In 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.
Texto completo da fonteBanik, Shantanu, Rangaraj M. Rangayyan e Graham S. Boag. "Image Segmentation". In 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.
Texto completo da fonteKimmel, Ron. "2D and 3D Image Segmentation". In 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.
Texto completo da fonteHaindl, Michal, e Pavel Žid. "Fast segmentation of range images". In Image Analysis and Processing, 295–302. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63507-6_214.
Texto completo da fonteCuevas, Erik, Valentín Osuna e Diego Oliva. "Multilevel Segmentation in Digital Images". In 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.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Segmentation des images échographiques"
Ameur, Meryem, Cherki Daoui e Najlae Idrissi. "Fast Markovian Images Segmentation". In 2020 IEEE 6th International Conference on Optimization and Applications (ICOA). IEEE, 2020. http://dx.doi.org/10.1109/icoa49421.2020.9094479.
Texto completo da fonteVerdenskaya, N. V., V. V. Sazonov, I. A. Ivanova, A. G. Yarovoyj e L. P. Ligthart. "Segmentation of GPR Images". In Proceedings of the 3rd European Radar Conference. IEEE, 2006. http://dx.doi.org/10.1109/eurad.2006.280269.
Texto completo da fonteBáez, Nery Javier Machado, Luis Vázquez Noguera e Horacio Legal Ayala. "Segmentation of melanoma images". In XXXV CNMAC - Congresso Nacional de Matemática Aplicada e Computacional. SBMAC, 2015. http://dx.doi.org/10.5540/03.2015.003.01.0125.
Texto completo da fonteAkram, Muhammad Usman, Anam Tariq e Sarwat Nasir. "Retinal images: Noise segmentation". In IEEE INMIC 2008. 12th IEEE International Multitopic Conference. IEEE, 2008. http://dx.doi.org/10.1109/inmic.2008.4777719.
Texto completo da fonteKrueger, Warren M. "Segmentation in blurred images". In SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, editado por Joseph N. Wilson e David C. Wilson. SPIE, 1993. http://dx.doi.org/10.1117/12.146595.
Texto completo da fonteBones, Philip J., Todd C. Griffin e Chris M. Carey-Smith. "Segmentation of document images". In SC - DL tentative, editado por Walter Bender e Mitsunaga Saito. SPIE, 1990. http://dx.doi.org/10.1117/12.19950.
Texto completo da fonteAl-Hujazi, Ezzet H., e Arun Sood. "Segmentation Of Range Images". In SPIE 1989 Technical Symposium on Aerospace Sensing, editado por Mohan M. Trivedi. SPIE, 1989. http://dx.doi.org/10.1117/12.969274.
Texto completo da fonteŠvihlík, Jan, Stanislav Vítek, Karel Fliegel, Petr Páta e Elena Anisimova. "Segmentation of astronomical images". In SPIE Optical Engineering + Applications, editado por Andrew G. Tescher. SPIE, 2014. http://dx.doi.org/10.1117/12.2062009.
Texto completo da fonteBarker, Simon A., Anil C. Kokaram e Peter J. W. Rayner. "Unsupervised segmentation of images". In SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, editado por Ali Mohammad-Djafari. SPIE, 1998. http://dx.doi.org/10.1117/12.323800.
Texto completo da fonteTolstaya, Ekaterina, e Anton Egorov. "Segmentation of Seismic Images". In 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.
Texto completo da fonteRelatórios de organizações sobre o assunto "Segmentation des images échographiques"
Shah, Jayant. Object Oriented Segmentation of Images. Fort Belvoir, VA: Defense Technical Information Center, dezembro de 1994. http://dx.doi.org/10.21236/ada290792.
Texto completo da fonteBlackston, Matthew, Deniz Aykac e Paul Hausladen. Progress Update on Segmentation of Neutron Tomographic Images, 2018. Office of Scientific and Technical Information (OSTI), setembro de 2018. http://dx.doi.org/10.2172/1675057.
Texto completo da fonteHo, Leyton. ully Automated GrowCut-based Segmentation of Melanoma in Dermoscopic Images. Journal of Young Investigators, fevereiro de 2019. http://dx.doi.org/10.22186/jyi.36.2.11-17.
Texto completo da fonteQuinn, 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.
Texto completo da fonteLi, Qunhua, Chris Fraley, Roger E. Bumgarner, Ka Y. Yeung e Adrian E. Raftery. Donuts, Scratches and Blanks: Robust Model-Based Segmentation of Microarray Images. Fort Belvoir, VA: Defense Technical Information Center, janeiro de 2005. http://dx.doi.org/10.21236/ada454864.
Texto completo da fonteHe, Ping, e Jun Zheng. Segmentation of TIBIA Bone in Ultrasound Images Using Active Shape Models. Fort Belvoir, VA: Defense Technical Information Center, outubro de 2001. http://dx.doi.org/10.21236/ada412425.
Texto completo da fonteTadmor, Eitan, Suzanne Nezzar e Luminita Vese. Multiscale Hierarchical Decomposition of Images with Applications to Deblurring, Denoising and Segmentation. Fort Belvoir, VA: Defense Technical Information Center, novembro de 2007. http://dx.doi.org/10.21236/ada489758.
Texto completo da fonteBai, Xue, e Guillermo Sapiro. Distancecut: Interactive Real-Time Segmentation and Matting of Images and Videos (PREPRINT). Fort Belvoir, VA: Defense Technical Information Center, janeiro de 2007. http://dx.doi.org/10.21236/ada478494.
Texto completo da fonteMohan, Anish, Guillermo Sapiro e Edward Bosch. Spatially-Coherent Non-Linear Dimensionality Reduction and Segmentation of Hyper-Spectral Images (PREPRINT). Fort Belvoir, VA: Defense Technical Information Center, junho de 2006. http://dx.doi.org/10.21236/ada478496.
Texto completo da fonteHausladen, Paul. Oak Ridge National Laboratory Progress Update on Segmentation of Neutron Tomographic Images, 2017. Office of Scientific and Technical Information (OSTI), maio de 2017. http://dx.doi.org/10.2172/1868506.
Texto completo da fonte