Literatura científica selecionada sobre o tema "Segmentation histologique de tumeur"
Crie uma referência precisa em APA, MLA, Chicago, Harvard, e outros estilos
Consulte a lista de atuais artigos, livros, teses, anais de congressos e outras fontes científicas relevantes para o tema "Segmentation histologique de tumeur".
Ao lado de cada fonte na lista de referências, há um botão "Adicionar à bibliografia". Clique e geraremos automaticamente a citação bibliográfica do trabalho escolhido no estilo de citação de que você precisa: APA, MLA, Harvard, Chicago, Vancouver, etc.
Você também pode baixar o texto completo da publicação científica em formato .pdf e ler o resumo do trabalho online se estiver presente nos metadados.
Artigos de revistas sobre o assunto "Segmentation histologique de tumeur"
Ndiaye, M., B. Sine, AM Gaye, N. Seck Ndour, A. Sarr, C. Zé Ondo, Y. Sow, B. Diao e AK Ndoye. "C10: Tumeur rénale de l’adulte : Facteurs de risque et aspects histopathologiques dans notre centre". African Journal of Oncology 2, n.º 1 Supplement (1 de março de 2022): S6. http://dx.doi.org/10.54266/ajo.2.1s.c10.tpbicalij6.
Texto completo da fonteTraoré, Drissa, e Et Al. "Actinomycose abdominale simulant une tumeur pariétale". Revue Malienne d'Infectiologie et de Microbiologie 16, n.º 3 (12 de janeiro de 2022): 33–35. http://dx.doi.org/10.53597/remim.v16i3.2025.
Texto completo da fonteUnterweger, Caduff, Ochsenbein-Imhof e Kubik-Huch. "Vaginales granulozytäres Sarkom: CT und MR Bildgebung". Praxis 91, n.º 9 (1 de fevereiro de 2002): 367–70. http://dx.doi.org/10.1024/0369-8394.91.9.367.
Texto completo da fonteChollet, P., S. Amat, H. Curé, J. –L Achard, M. A. Mouret–Reynier, J. Dauplat e F. Penault–Llorca. "Importance de la tumeur résiduelle et de la rémission histologique complète". ONCOLOGIE 6, n.º 3 (maio de 2004): 181–85. http://dx.doi.org/10.1007/s10269-004-0034-7.
Texto completo da fonteWassef, M. "Démarche diagnostique devant une tumeur des glandes salivaires, approche par profil histologique". Annales de Pathologie 27 (novembro de 2007): 71–74. http://dx.doi.org/10.1016/s0242-6498(07)92871-0.
Texto completo da fonteAbbassi, I. El, F. Atfi, A. Lamrissi, K. Fichtali e S. Bouhya. "LENDOMETRIOSE PERINEALE : A PROPOS DUN CAS". International Journal of Advanced Research 9, n.º 12 (31 de dezembro de 2021): 829–32. http://dx.doi.org/10.21474/ijar01/13980.
Texto completo da fonteGaye, AM, F. Senghor, MCN Odah, GNC Déguénonvo, M. Gueye, I. Thiam e MCM Dial. "C57: Caractéristiques clinicopathologiques des tumeurs de la granulosa de l'ovaire à Dakar". African Journal of Oncology 2, n.º 1 Supplement (1 de março de 2022): S25. http://dx.doi.org/10.54266/ajo.2.1s.c57.uezo4390.
Texto completo da fonteEngeler e Schmid. "Das Blasenkarzinom – eine aktuelle Übersicht". Praxis 92, n.º 4 (1 de janeiro de 2003): 117–26. http://dx.doi.org/10.1024/0369-8394.92.4.117.
Texto completo da fonteDiagne, Ndèye Marième, Abadacar Mbengue, Bineta Ndiaye, Modeste Ogougbemy, Fatou Fall e Abdou Rajack Ndiaye. "Prognosis of gastrointestinal stromal tumors at the main hospital of Dakar". Batna Journal of Medical Sciences (BJMS) 6, n.º 2 (30 de dezembro de 2019): 97–103. http://dx.doi.org/10.48087/bjmsoa.2019.6204.
Texto completo da fonteDéguénonvo, GNC, A. Sow e CMM Dial. "C86: Rhabdomyosarcomes de localisations inhabituelles : A propos de deux cas colligés au laboratoire d'Anatomie Pathologique à l'Hôpital Général Idrissa Pouye". African Journal of Oncology 2, n.º 1 Supplement (1 de março de 2022): S35—S36. http://dx.doi.org/10.54266/ajo.2.1s.c86.ioqi5122.
Texto completo da fonteTeses / dissertações sobre o assunto "Segmentation histologique de tumeur"
Lerousseau, Marvin. "Weakly Supervised Segmentation and Context-Aware Classification in Computational Pathology". Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG015.
Texto completo da fonteAnatomic pathology is the medical discipline responsible for the diagnosis and characterization of diseases through the macroscopic, microscopic, molecular and immunologic inspection of tissues. Modern technologies have made possible the digitization of tissue glass slides into whole slide images, which can themselves be processed by artificial intelligence to enhance the capabilities of pathologists. This thesis presented several novel and powerful approaches that tackle pan-cancer segmentation and classification of whole slide images. Learning segmentation models for whole slide images is challenged by an annotation bottleneck which arises from (i) a shortage of pathologists, (ii) an intense cumbersomeness and boring annotation process, and (iii) major inter-annotators discrepancy. My first line of work tackled pan-cancer tumor segmentation by designing two novel state-of-the-art weakly supervised approaches that exploit slide-level annotations that are fast and easy to obtain. In particular, my second segmentation contribution was a generic and highly powerful algorithm that leverages percentage annotations on a slide basis, without needing any pixelbased annotation. Extensive large-scale experiments showed the superiority of my approaches over weakly supervised and supervised methods for pan-cancer tumor segmentation on a dataset of more than 15,000 unfiltered and extremely challenging whole slide images from snap-frozen tissues. My results indicated the robustness of my approaches to noise and systemic biases in annotations. Digital slides are difficult to classify due to their colossal sizes, which range from millions of pixels to billions of pixels, often weighing more than 500 megabytes. The straightforward use of traditional computer vision is therefore not possible, prompting the use of multiple instance learning, a machine learning paradigm consisting in assimilating a whole slide image as a set of patches uniformly sampled from it. Up to my works, the greater majority of multiple instance learning approaches considered patches as independently and identically sampled, i.e. discarded the spatial relationship of patches extracted from a whole slide image. Some approaches exploited such spatial interconnection by leveraging graph-based models, although the true domain of whole slide images is specifically the image domain which is more suited with convolutional neural networks. I designed a highly powerful and modular multiple instance learning framework that leverages the spatial relationship of patches extracted from a whole slide image by building a sparse map from the patches embeddings, which is then further processed into a whole slide image embedding by a sparse-input convolutional neural network, before being classified by a generic classifier model. My framework essentially bridges the gap between multiple instance learning, and fully convolutional classification. I performed extensive experiments on three whole slide image classification tasks, including the golden task of cancer pathologist of subtyping tumors, on a dataset of more than 20,000 whole slide images from public data. Results highlighted the superiority of my approach over all other widespread multiple instance learning methods. Furthermore, while my experiments only investigated my approach with sparse-input convolutional neural networks with two convolutional layers, the results showed that my framework works better as the number of parameters increases, suggesting that more sophisticated convolutional neural networks can easily obtain superior results
Clément, Nathalie. "Les tumeurs papillaires du pancréas : étude histologique, immunohistochimique et ultrastructurale : à propos de trois observations". Aix-Marseille 2, 1988. http://www.theses.fr/1988AIX20296.
Texto completo da fonteBAILLY, PASCALE. "Etude clinique, radiologique et histologique d'une serie de 31 cas de cystadenomes, tumeurs mucineuses frontieres et cyctadenocarcinomes du pancreas". Besançon, 1991. http://www.theses.fr/1991BESA3051.
Texto completo da fonteLeonardi, Valentin. "Modélisation dynamique et suivi de tumeur dans le volume rénal". Thesis, Aix-Marseille, 2014. http://www.theses.fr/2014AIXM4056/document.
Texto completo da fonteThis Ph.D. thesis deals with the 3D dynamic modeling of the kidney and tracking a tumor of this organ. It is in line with the KiTT project (Kidney Tumor Tracking) which gathers researchers from different fileds: geometric modeling, radiology and urology. This work arised from the tendency of nowadays surgical gestures to be less and less invasive (HIFU, coelioscopy). Its goal is to result in a totally non-invasive protocol of kidney tumors eradication by transmitting ultrasound waves through the skin without breaking in it. As the kidney presents motions and deformations during the breathing phase, the main issue is to know the kidney and tumor positions at any time in order to adjust the waves accordingly
Gerin, Chloé. "Modélisation et étude histologique de gliomes diffus de bas grade". Phd thesis, Université Paris-Diderot - Paris VII, 2012. http://tel.archives-ouvertes.fr/tel-00820353.
Texto completo da fonteEsneault, Simon. "Planning pour la thérapie de tumeur du foie par ultrasons haute intensité". Phd thesis, Université Rennes 1, 2009. http://tel.archives-ouvertes.fr/tel-00497749.
Texto completo da fonteStawiaski, Jean. "Morphologie mathématique et graphes : application à la segmentation interactive d'images médicales". Phd thesis, École Nationale Supérieure des Mines de Paris, 2008. http://pastel.archives-ouvertes.fr/pastel-00004807.
Texto completo da fonteZhang, Nan. "Feature selection based segmentation of multi-source images : application to brain tumor segmentation in multi-sequence MRI". Phd thesis, INSA de Lyon, 2011. http://tel.archives-ouvertes.fr/tel-00701545.
Texto completo da fonteKhotanlou, Hassan. "Segmentation 3D de tumeurs et de structures internes du cerveau en IRM". Phd thesis, Télécom ParisTech, 2008. http://pastel.archives-ouvertes.fr/pastel-00003662.
Texto completo da fonteSignolle, Nicolas. "Approches multiéchelles pour la segmentation de très grandes images : application à la quantification de biomarqueurs en histopathologie cancérologique". Phd thesis, Université de Caen, 2009. http://tel.archives-ouvertes.fr/tel-01073319.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Segmentation histologique de tumeur"
Sergheraert, J., S. Grenier, C. Mauprivez, B. Lefevre e S. Laurence. "Cystadénome papillaire d’une glande salivaire accessoire. A propos d’un cas". In 66ème Congrès de la SFCO. Les Ulis, France: EDP Sciences, 2020. http://dx.doi.org/10.1051/sfco/20206602011.
Texto completo da fontede Cidrac, L., L. Radoï, R. Pecorari e T. Nguyen. "Tumeur à cellules géantes : à propos d’un cas récidivant et agressif à localisation mandibulaire". In 66ème Congrès de la SFCO. Les Ulis, France: EDP Sciences, 2020. http://dx.doi.org/10.1051/sfco/20206603021.
Texto completo da fonteGossiome, C., F. Rufino, G. Herve, M. Benassarou, P. Goudot, V. Descroix e G. Lescaille. "Découverte fortuite d’une lésion mandibulaire, un cas de kyste anévrismal". In 66ème Congrès de la SFCO. Les Ulis, France: EDP Sciences, 2020. http://dx.doi.org/10.1051/sfco/20206603020.
Texto completo da fonte