Academic literature on the topic 'Histologie quantitative'
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Journal articles on the topic "Histologie quantitative"
Boly, H., MT Hochereau-de Reviers, P. Humblot, and M. Thibier. "Effets pathogènes de Trypanosoma congolense sur le testicule des taurins Baoulé : histologie quantitative et morphométrique." Reproduction Nutrition Development 33, no. 6 (1993): 541–50. http://dx.doi.org/10.1051/rnd:19930605.
Full textMarek, W., S. Krampe, N. J. Dickgreber, L. Nielsen, A. Muti, B. Khanavkar, K. M. Müller, Z. Atay, Th Topalidis, and J. A. Nakhosteen. "Automatisierte quantitative Image-Zytometrie bronchialer Spülflüssigkeiten bei Verdacht auf broncho-pulmonale Tumoren: Vergleich mit Zytologie, Histologie und klinischer Diagnose." Pneumologie 53, no. 12 (December 1999): 583–95. http://dx.doi.org/10.1055/s-1999-9047.
Full textNeuerburg, J., U. Fabry, U. Cremerius, G. Wagenknecht, D. Hellwig, R. Osieka, R. Günther, U. Büll, and R. Thill. "Vergleich der Befunde von 18-FDG- PET und CT beim prätherapeutischen Staging maligner Lymphome." Nuklearmedizin 36, no. 07 (1997): 234–39. http://dx.doi.org/10.1055/s-0038-1629839.
Full textSchröder, W., S. Wolters, U. Cremerius, W. Rath, U. Büll, and M. Zimny. "18F-Fluordeoxyglukose PET beim Ovarialkarzinom: Methodik und erste Ergebnisse." Nuklearmedizin 36, no. 07 (1997): 228–33. http://dx.doi.org/10.1055/s-0038-1629838.
Full textBozzato, Alessandro, Johannes Zenk, Holger Greess, Joachim Hornung, Frank Gottwald, Christina Rabe, and Heinrich Iro. "Potential of ultrasound diagnosis for parotid tumors: Analysis of qualitative and quantitative parameters." Otolaryngology–Head and Neck Surgery 137, no. 4 (October 2007): 642–46. http://dx.doi.org/10.1016/j.otohns.2007.05.062.
Full textKhalil, Farah, Hernani Cualing, Julia Cogburn, and Lili Miles. "The Criteria for Bone Marrow Recovery Post–Myelosuppressive Therapy for Acute Myelogenous Leukemia: A Quantitative Study." Archives of Pathology & Laboratory Medicine 131, no. 8 (August 1, 2007): 1281–89. http://dx.doi.org/10.5858/2007-131-1281-tcfbmr.
Full textFabregas, Neus, Antoni Torres, Mustafa El-Ebiary, Josep Ramirez, Carmen Hernandez, Julia Gonzalez, Jorge Puig de la Bellacasa, Jimenez de Anta, and Robert Rodriguez-Roisin. "Histopathologic and Microbiologic Aspects of Ventilator-associated Pneumonia." Anesthesiology 84, no. 4 (April 1, 1996): 760–71. http://dx.doi.org/10.1097/00000542-199604000-00002.
Full textFitzgerald, Tamara N., Akihito Muto, Fabio Akimaro Kudo, Jose Mario Pimiento, Robert Todd Constable, and Alan Dardik. "Emerging Vascular Applications of Magnetic Resonance Imaging: A Picture is Worth More than a Thousand Words." Vascular 14, no. 6 (November 2006): 366–71. http://dx.doi.org/10.2310/6670.2006.00062.
Full textHendricks, James B. "Quantitative Histology by Laser Scanning Cytometry." Journal of Histotechnology 24, no. 1 (March 2001): 59–62. http://dx.doi.org/10.1179/his.2001.24.1.59.
Full textAllan Johnson, G., Alexandra Badea, and Yi Jiang. "Quantitative Neuromorphometry Using Magnetic Resonance Histology." Toxicologic Pathology 39, no. 1 (November 30, 2010): 85–91. http://dx.doi.org/10.1177/0192623310389622.
Full textDissertations / Theses on the topic "Histologie quantitative"
Vandenberghe, Michel. "3D whole-brain quantitative histopathology : methodology and applications in mouse models of Alzheimer's disease." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066411/document.
Full textHistology is the gold standard to study the spatial distribution of the molecular building blocks of organs. In humans and in animal models of disease, histology is widely used to highlight neuropathological markers on brain tissue sections. This makes it particularly useful to investigate the pathophysiology of neurodegenerative diseases such as Alzheimer’s disease and to evaluate drug candidates. However, due to tedious manual interventions, quantification of histopathological markers is classically performed on a few tissue sections, thus restricting measurements to limited portions of the brain. Quantitative methods are lacking for whole-brain analysis of cellular and pathological markers. In this work, we propose an automated and scalable method to thoroughly quantify and analyze histopathological markers in 3D in rodent whole brains. Histology images are reconstructed in 3D using block-face photography as a spatial reference and the markers of interest are segmented via supervised machine learning. Two complimentary approaches are proposed to detect differences in histopathological marker load between groups of animals: an ontology-based approach is used to infer difference at the level of brain regions and a voxel-wise approach is used to detect local differences without spatial a priori. Several applications in mouse models of A-beta deposition are described to illustrate 3D histopathology usability to characterize animal models of brain diseases, to evaluate the effect of experimental interventions, to anatomically correlate cellular and pathological markers throughout the entire brain and to validate in vivo imaging techniques
Klinge, Christine [Verfasser]. "Quantitative Strukturanalyse der Mäuselunge mit stereologischen Methoden: Korrelation von Micro-CT und Histologie / Christine Klinge." Hannover : Bibliothek der Tierärztlichen Hochschule Hannover, 2013. http://d-nb.info/1037834569/34.
Full textVandenberghe, Michel. "3D whole-brain quantitative histopathology : methodology and applications in mouse models of Alzheimer's disease." Electronic Thesis or Diss., Paris 6, 2015. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2015PA066411.pdf.
Full textHistology is the gold standard to study the spatial distribution of the molecular building blocks of organs. In humans and in animal models of disease, histology is widely used to highlight neuropathological markers on brain tissue sections. This makes it particularly useful to investigate the pathophysiology of neurodegenerative diseases such as Alzheimer’s disease and to evaluate drug candidates. However, due to tedious manual interventions, quantification of histopathological markers is classically performed on a few tissue sections, thus restricting measurements to limited portions of the brain. Quantitative methods are lacking for whole-brain analysis of cellular and pathological markers. In this work, we propose an automated and scalable method to thoroughly quantify and analyze histopathological markers in 3D in rodent whole brains. Histology images are reconstructed in 3D using block-face photography as a spatial reference and the markers of interest are segmented via supervised machine learning. Two complimentary approaches are proposed to detect differences in histopathological marker load between groups of animals: an ontology-based approach is used to infer difference at the level of brain regions and a voxel-wise approach is used to detect local differences without spatial a priori. Several applications in mouse models of A-beta deposition are described to illustrate 3D histopathology usability to characterize animal models of brain diseases, to evaluate the effect of experimental interventions, to anatomically correlate cellular and pathological markers throughout the entire brain and to validate in vivo imaging techniques
Bélanger, Erik. "Développement et utilisation d'une plateforme d'imagerie optique quantitative, multimodale et non linéaire de la moelle épinière chez les animaux vivants." Doctoral thesis, Université Laval, 2013. http://hdl.handle.net/20.500.11794/24192.
Full textOptical microscopy in living animals is a promising research tool for the evolution of neurobiology. Intravital imaging offers a live preview of how individual cells respond to the nervous system damages. Applying in vivo microscopy to a panoply of transgenic mice used with different animal models of neurodegenerative diseases promotes the understanding of the progress of pathologies and the comprehension of how therapies work. It is thus essential to promote the emergence of optical microscopy technologies in living animals because it is a strategy with great potential. Therefore, the project described in this doctoral thesis focuses on the development and use of a microscopy platform for quantitative, multimodal and nonlinear imaging of the spinal cord in living animals. First, we alleviated the polarization dependence of the coherent anti-Stokes Raman scattering (CARS) signal intensity. This strategy makes images more amenable to histological interpretation. With this technique, we studied the histology of myelin in the rat spinal cord. Secondly, we proposed a new image analysis procedure compatible with live animals imaging in order to achieve the histology of myelinated axons. We quantified the demyelination proximal, and remyelination distal to the crush site ex vivo and in vivo respectively. Third, we showed that CARS imaging of the spinal cord in living mice can be achieved with a microendoscope, and this while maintaining compatibility with the two-photon excitation fluorescence signal. Finally, we discuss a digital image processing strategy that reduces imaging artifacts related to movement of the animal. This technique allows the histological study of myelin and the quantification of the motility of microglial cells in their native environment. Ultimately, this thesis demonstrates that in vivo CARS microscopy progresses gradually towards a robust tool for research in neurobiology.
Emerit, Valérie. "Etude quantitative des images en imagerie de résonance magnétique nucléaire : détermination rapide in vivo des temps de relaxation tissulaires." Toulouse 3, 1997. http://www.theses.fr/1997TOU30094.
Full textCanonge, Rafael. "Imagerie moléculaire 3D quantitative des tissus en utilisant la microscopie Raman cohérente sans marquage." Thesis, Ecole centrale de Marseille, 2017. http://www.theses.fr/2017ECDM0010/document.
Full textThis thesis focuses on multiphotonic microscopy techniques development and use in order to image human biological samples. A multiphotonic imaging setup using label-free nonlinear contrasts mechanisms such as two-photons fluorescence, second harmonic generation, or stimulated Raman effect (CARS or SRS) has been designed and developped during this PhD, and I present the experimental work in two main research topics.In a first part, we compare label-free 3D imaging with classic histological imaging using colorimetric labels in human digestive system. We show that multiphotonic technics allow to reconstruct the organization and discern the molecular compounds inside the tissues, in order to get a caratérization of the cancerous tumors developpement.The second part is related to the application of our multimodal setup to the quantitative study of real active molecular compounds real time penetration into in vivo human skin. We show that multiphotonic microscopy make possible to mesure active molecules in depth 3D concentration in the skin in order to understand transcutaneous diffusion mechanisms in cosmetic and pharmacological applications
Julliard, A. Karyn. "Tissu glio-interstitiel et régulation calcique des espaces extracellulaires dans le muscle rétracteur du byssus de Mytilus : étude morphométrique et microanalyse quantitative de compartiments calciques subcellulaires." Lyon 1, 1986. http://www.theses.fr/1986LYO10078.
Full textFaure-Brac, Mathieu. "Effects of thermophysiology on the evolution of Pseudosuchia (Archosauria) : contributions of paleohistology and isotopic geochemistry using phylogenetic comparative methods." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS233.
Full textIt is today well established that archosaurs are ancestrally endotherms, i.e., they present mechanisms of non shivering thermogenesis. Among archosaurs, extant crocodilians are ectothermic but present particular anatomical and molecular features traditionally associated with endothermy: a fourc hambered heart; several acquisitions linked to an efficient breath such as a diaphragmatic muscle and unidirectional airflow; the deposition of high growth rate bone tissues; a high mitochondrial rate of evolution. Studies on extinct pseudosuchians suggested that most of the Triassic species were endothermic, but the timing of the loss o fendothermy in Pseudosuchia still has to be constrained both temporally and phylogenetically.In this thesis, I use stable isotopic geochemistry and quantitative osteohistology to infer the body temperature and the resting metabolic rate, to proxies to infer endothermy, of several metasuchians. I concluded that metasuchians are primitively ectothermic, and inferred the loss of endothermy at the node Crocodylomorpha using ancestral state reconstruction. I hypothesize pseudosuchian’s endothermy was in a more primitive state than dinosaurs’ and that they were not able to survive the end Triassic mass extinction. The only surviving pseudosuchians were then ectothermic crocodylomorphs, leading to extant species
Elschner, Cindy. "Analyse der knöchernen Einheilung von Biomaterialien mit der Magnetresonanztomographie." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-204714.
Full textCurrently, histological techniques are used to analyse implant-tissue-interactions. However, these methods are destructive and do not allow for the investigation of living animals. Therefore, it is not possible to study the integration of biomaterials repeatedly with one animal, resulting in a large number of animals and an increase of biological variability. Non-invasive imaging techniques have gained interest in the field of biomaterials. Whereas Computed Tomography (CT) was often used to evaluate the osseous integration, the assessment using Magnetic Resonance Imaging (MRI) has not been established, yet. MRI is a non-invasive medical imaging method that detects soft tissue. In contrast to CT the method does not require individuals to be exposed to radiation. The most important benefit of MRI is the possibility to acquire different soft tissue contrasts in situ because the various tissues have different signal intensities on MR images that can be altered by using different experimental parameters. Furthermore, it is possible to gain MR-specific properties that allow conclusions to the tissue structure. Thus, the objective of the doctoral thesis has been to investigate the suitability of MRI for the use in biometerial research and to show potential areas of application. The examinations were performed using a laboratory NMR-spectrometer inclusive imaging accessory. The thesis included an evaluation of the MR compatibility of different materials and their biocompati-bility and an analysis of the ingrowth of chosen biomaterials into bone. For that, the detection and identification of tissue structures and biomaterials was investigated with both, MRI and histology. Additionally, quantitative parameters were acquired and their comparability was assessed. It was clearly demonstrated, that metals interacted with the MR system and provoked large image distortions. These effects were strongly dependent on experimental parameters chosen. Polyetheretherketone with titanium coating (PEEK/Ti) was investigated and has been found to be MR safe. Above all, it was demonstrated that the biocompatibility of the polymer was significantly enhanced by coating with titanium. Within two animal studies the successful analysis of the osseous healing of different biomaterials with MRI was presented. To demonstrate the visibility of bony structures and biomaterials a dental implant made of PEEK/Ti was analysed. The ability to measure quantitative data in analogy to histomorphometry was shown, ditto. A large variation of the values was detected due to the limited number of animals used for the pilot study. Evaluating the displayability of bone and (to some extent tissue engineered) bone substitutes and assessing the clinical success of these materials was one main focus of the second animal study. Both, MRI and histological analysis could undeniably illustrate that all of the bone substitutes were not suitable for the chosen application. The thesis was completed with the determination of the agreement of quantitative values from both analysing methods. It was concluded that all values gained from the animal study were significantly different. It was proven that the chosen slice position and the image interpretation with two evaluators had a larger share to disagreement than the different lateral resolution of MRI and histological images or the diverging displayability of bone and bone substitutes. By investigating a MR suitable dental PEEK implant the doctoral thesis fulfils the criteria of novelty in biomaterial research. Moreover, it forges links between preclinical research and dental implantology
Chamming's, Foucauld. "Elastographie quantitative des tumeurs du sein et de la réponse au traitement." Thesis, Sorbonne Paris Cité, 2015. http://www.theses.fr/2015USPCB152/document.
Full textIntroduction: Shear Wave Elastography (SWE) is a recent ultrasound technique assessing quantitatively tissue stiffness and improving breast lesions characterization. As every new imaging technique, SWE requires a pre clinical validation in order to define in which conditions it should be used and precise the applications for which the technique is validated. Materials and methods: First, in a research lab we have investigated the pathological features underlying SWE image in a breast cancer model implanted in mice, during tumor growth and under therapy. Secondly, we have studied in patients the role of manual compression in SWE for the characterization of breast lesions. Finally, in collaboration with on team from Institut Langevin Ondes et Images, we have studied the feasibility of a new parameter, the non-linear modulus, for breast lesion assessment. Results: in the research lab, we have shown correlations between stiffness as measured with SWE and pathological features of tumors, even on treatment. We have shown that fibrosis was associated with high stiffness values and necrosis with lowers. Our clinical study, showed that a minimal manual compression was required for optimal performance of SWE and that strong compression should be avoided. Finally, we demonstrated feasibility of a new parameter, derived from SWE, the non-linear modulus. Conclusion: Our work provides a better understanding of biological and technical elements of SWE. On the basis of our results, new recommendations may be made for the use of SWE in clinical practice. From our clinical findings, we developed a new quantitative parameter, which may be useful for the diagnosis of breast lesions, the non-linear modulus
Books on the topic "Histologie quantitative"
W, Hamilton Peter, and Allen Derek C, eds. Quantitative clinical pathology. Oxford [England]: Blackwell Science, 1995.
Find full textY, Mary J., Rigaut J. P, Unité de recherches biomathématiques et biostatistiques., Institut national de la santé et de la recherche médicale., Association pour la recherche sur le cancer., and European Society of Pathology, eds. Quantitative image analysis in cancer cytology and histology. Amsterdam: Elsevier Science, 1986.
Find full text1950-, Stewart Michael G., ed. Quantitative methods in neuroanatomy. Chichester: J. Wiley, 1992.
Find full textL, Deter Russell, ed. Quantitative obstetrical ultrasonography. New York: Wiley, 1986.
Find full textY, Mary J., Rigaut J. P, Institut national de la santé et de la recherche médicale (France). Unité de recherches biomathématiques et biostatistiques., Association pour le développment de la recherche sur le cancer (France), and European Society of Pathology, eds. Quantitative image analysis in cancer cytology and histology: Based on a symposium. Amsterdam: Elsevier, 1986.
Find full textservice), ScienceDirect (Online, ed. Diffusion MRI: From quantitative measurement to in-vivo neuroanatomy. Amsterdam: Elsevier/Academic Press, 2009.
Find full textCrowder, Christian Matthew. Evaluating the use of quantitative bone histology to estimate adult age at death. 2005.
Find full textDiffusion MRI: From Quantitative Measurement to in Vivo Neuroanatomy. Elsevier Science & Technology Books, 2013.
Find full textJohansen-Berg, Heidi, and Timothy E. J. Behrens. Diffusion MRI: From Quantitative Measurement to in Vivo Neuroanatomy. Elsevier Science & Technology Books, 2013.
Find full textBook chapters on the topic "Histologie quantitative"
Mandarim-de-Lacerda, Carlos Alberto, Caroline Fernandes-Santos, and Marcia Barbosa Aguila. "Image Analysis and Quantitative Morphology." In Histology Protocols, 211–25. Totowa, NJ: Humana Press, 2009. http://dx.doi.org/10.1007/978-1-60327-345-9_17.
Full textBalbastre, Yaël, Michel E. Vandenberghe, Anne-Sophie Hérard, Pauline Gipchtein, Caroline Jan, Anselme L. Perrier, Philippe Hantraye, Romina Aron-Badin, Jean-François Mangin, and Thierry Delzescaux. "A Quantitative Approach to Characterize MR Contrasts with Histology." In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 104–15. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30858-6_10.
Full textKotrschal, Kurt, and Margit Palzenberger. "Neuroecology of cyprinids: comparative, quantitative histology reveals diverse brain patterns." In Environmental biology of European cyprinids, 135–52. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2544-4_13.
Full textCollins, Stephan C., and Binnaz Yalcin. "Assessment of Adult Mouse Brain Neuroanatomical Phenotypes Using Quantitative and Precision Histology." In Neuromethods, 93–116. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2569-9_6.
Full textParameswaran, Harikrishnan, and Béla Suki. "Assessing Structure–Function Relations in Mice Using the Forced Oscillation Technique and Quantitative Histology." In Methods in Molecular Biology, 77–91. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7163-3_8.
Full textJiménez, Gabriel, and Daniel Racoceanu. "Computational Pathology for Brain Disorders." In Machine Learning for Brain Disorders, 533–72. New York, NY: Springer US, 2012. http://dx.doi.org/10.1007/978-1-0716-3195-9_18.
Full textGilbert, Stephen H., Olivier Bernus, Arun V. Holden, and Alan P. Benson. "A Quantitative Comparison of the Myocardial Fibre Orientation in the Rabbit as Determined by Histology and by Diffusion Tensor-MRI." In Functional Imaging and Modeling of the Heart, 49–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01932-6_6.
Full textDinse, Juliane, Miriam Waehnert, Christine Lucas Tardif, Andreas Schäfer, Stefan Geyer, Robert Turner, and Pierre-Louis Bazin. "A Histology-Based Model of Quantitative T1 Contrast for In-vivo Cortical Parcellation of High-Resolution 7 Tesla Brain MR Images." In Advanced Information Systems Engineering, 51–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40763-5_7.
Full textGoodwin, Paul C., Brian Johnson, and Charles W. Frevert. "Microscopy, Immuno-Histochemistry, Digital Imaging, and Quantitative Microscopy." In Comparative Anatomy and Histology, 53–66. Elsevier, 2018. http://dx.doi.org/10.1016/b978-0-12-802900-8.00004-x.
Full textGregor, Tom, Petra Kochov, Lada Eberlov, Luk Nedorost, Eva Proseck, Vclav Lika, Hynek Mrka, et al. "Correlating Micro-CT Imaging with Quantitative Histology." In Injury and Skeletal Biomechanics. InTech, 2012. http://dx.doi.org/10.5772/48680.
Full textConference papers on the topic "Histologie quantitative"
Wang, Xiao, M. Shahriar Salamat, Tomy Varghese, and Robert J. Dempsey. "Carotid plaque characterization with histology and quantitative ultrasound." In 2014 IEEE International Ultrasonics Symposium (IUS). IEEE, 2014. http://dx.doi.org/10.1109/ultsym.2014.0595.
Full textFanous, Michael J., Hassaan Majeed, Yuchen R. He, Nahil Sobh, and Gabriel Popescu. "Deep learning-based computational histology staining using spatial light interference microscopy (SLIM) Data (Conference Presentation)." In Quantitative Phase Imaging VI, edited by Gabriel Popescu, YongKeun Park, and Yang Liu. SPIE, 2020. http://dx.doi.org/10.1117/12.2550335.
Full textMacenko, Marc, Marc Niethammer, J. S. Marron, David Borland, John T. Woosley, Xiaojun Guan, Charles Schmitt, and Nancy E. Thomas. "A method for normalizing histology slides for quantitative analysis." In 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI). IEEE, 2009. http://dx.doi.org/10.1109/isbi.2009.5193250.
Full textYin, Yi, Oliver Sedlaczek, Arne Warth, Margarita Gonzalez-Vallinas, Kai Breuhahn, Irene E. Vignon-Clementel, and Dirk Drasdo. "Quantitative estimation of tumor cellularity based on histology data." In 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD). IEEE, 2016. http://dx.doi.org/10.1109/nssmic.2016.8069630.
Full textThomsen, Sharon L., Wai-Fung Cheong, and John A. Pearce. "Changes in collagen birefringence: a quantitative histologic marker of thermal damage in skin." In Optics, Electro-Optics, and Laser Applications in Science and Engineering, edited by Oon T. Tan, Rodney A. White, and John V. White. SPIE, 1991. http://dx.doi.org/10.1117/12.43938.
Full textSilva, Débora Evelyn Ferreira, Márcia Mayanne Almeida Bezerra, and Darlen Cardoso De Carvalho. "DETECÇÃO DE ANOMALIAS CONGÊNITAS NO BRASIL: ANÁLISE EPIDEMIOLÓGICA DE UMA DÉCADA." In I Congresso On-line Nacional de Histologia e Embriologia Humana. Revista Multidisciplinar em Saúde, 2022. http://dx.doi.org/10.51161/rems/3221.
Full textRuusuvuori, Pekka, Kimmo Kartasalo, Mira Valkonen, Masi Valkonen, Tapio Visakorpi, Matti Nykter, and Leena Latonen. "Abstract 46: 3D reconstruction and quantitative analysis of histology for prostate cancer." In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.sabcs18-46.
Full textRuusuvuori, Pekka, Kimmo Kartasalo, Mira Valkonen, Masi Valkonen, Tapio Visakorpi, Matti Nykter, and Leena Latonen. "Abstract 46: 3D reconstruction and quantitative analysis of histology for prostate cancer." In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.am2019-46.
Full textCorreia, C., M. Hinchcliff, and M. Mahoney. "THU0387 High-throughput quantitative histology in systemic sclerosis skin disease using computer vision." In Annual European Congress of Rheumatology, EULAR 2018, Amsterdam, 13–16 June 2018. BMJ Publishing Group Ltd and European League Against Rheumatism, 2018. http://dx.doi.org/10.1136/annrheumdis-2018-eular.7587.
Full textEhteshami Bejnordi, Babak, Nadya Timofeeva, Irene Otte-Höller, Nico Karssemeijer, and Jeroen A. W. M. van der Laak. "Quantitative analysis of stain variability in histology slides and an algorithm for standardization." In SPIE Medical Imaging, edited by Metin N. Gurcan and Anant Madabhushi. SPIE, 2014. http://dx.doi.org/10.1117/12.2043683.
Full textReports on the topic "Histologie quantitative"
Lee, William M., and Badrinath Roysam. Multiplex Quantitative Histologic Analysis of Human Breast Cancer Cell Signaling and Cell Fate. Fort Belvoir, VA: Defense Technical Information Center, May 2009. http://dx.doi.org/10.21236/ada538315.
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