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On the anatomy of power : bodies of knowledge in South African socio-medical discourseButchart, Robert Alexander 07 1900 (has links)
Derived from a marxist/liberal humanist view of power, conventional
critiques and historical accounts of the socio-medical sciences in
South Africa see only their power to repress and negate the true
bodily attributes and authentic person of the African. In so doing,
they ignore the productive capacity of these knowledges and
practices as a manifestation of what Michel Foucault termed
"disciplinary" power, by which the human body is manufactured and
made manageable as an object of medical knowledge and industrial
utilisation. Accordingly, this thesis offers just such a Foucaultian
reading of western socio-medical knowledge in South Africa to
demonstrate how it has operated to fabricate the bodies of Africans
as visible objects possessed of distinct attributes that have
provoked particular strategies for their surveillance, management,
and government in health and disease. / Psychology / D. Litt. et Phil. (Psychology)
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On the anatomy of power : bodies of knowledge in South African socio-medical discourseButchart, Robert Alexander 07 1900 (has links)
Derived from a marxist/liberal humanist view of power, conventional
critiques and historical accounts of the socio-medical sciences in
South Africa see only their power to repress and negate the true
bodily attributes and authentic person of the African. In so doing,
they ignore the productive capacity of these knowledges and
practices as a manifestation of what Michel Foucault termed
"disciplinary" power, by which the human body is manufactured and
made manageable as an object of medical knowledge and industrial
utilisation. Accordingly, this thesis offers just such a Foucaultian
reading of western socio-medical knowledge in South Africa to
demonstrate how it has operated to fabricate the bodies of Africans
as visible objects possessed of distinct attributes that have
provoked particular strategies for their surveillance, management,
and government in health and disease. / Psychology / D. Litt. et Phil. (Psychology)
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Des outils conceptuels et méthodologiques pour la médecine générale / Conceptual and methodological tools for general practiceRoland, Michel 02 March 2006 (has links)
Résumé<p><p>Cette thèse est le rassemblement, par blocs homogènes, de notes d’orientation, de présentations orales, de textes variés, rédigés pour des revues scientifiques, comme chapitres de livres, pour des colloques ou des congrès, pour divers décideurs politiques, des années 80 à ce jour. <p>Son but est de montrer leur cohérence avec un fil conducteur commun :le développement d’outils conceptuels et méthodologiques utiles pour la pratique de la médecine générale en particulier, pour le système de dispensation des soins plus globalement. L’impact espéré est une amélioration de la qualité des soins dispensés, à l’échelle individuelle (relation soignant/soigné) ou à l’échelle collective (système de santé).<p>Les différents blocs se succèdent dans l’ordre suivant :<p>q\ / Doctorat en Sciences de la santé publique / info:eu-repo/semantics/nonPublished
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Performance analysis of EM-MPM and K-means clustering in 3D ultrasound breast image segmentationYang, Huanyi 05 1900 (has links)
Indiana University-Purdue University Indianapolis (IUPUI) / Mammographic density is an important risk factor for breast cancer, detecting and screening at an early stage could help save lives. To analyze breast density distribution, a good segmentation algorithm is needed. In this thesis, we compared two popularly used segmentation algorithms, EM-MPM and K-means Clustering. We applied them on twenty cases of synthetic phantom ultrasound tomography (UST), and nine cases of clinical mammogram and UST images. From the synthetic phantom segmentation comparison we found that EM-MPM performs better than K-means Clustering on segmentation accuracy, because the segmentation result fits the ground truth data very well (with superior Tanimoto Coefficient and Parenchyma Percentage). The EM-MPM is able to use a Bayesian prior assumption, which takes advantage of the 3D structure and finds a better localized segmentation. EM-MPM performs significantly better for the highly dense tissue scattered within low density tissue and for volumes with low contrast between high and low density tissues. For the clinical mammogram, image segmentation comparison shows again that EM-MPM outperforms K-means Clustering since it identifies the dense tissue more clearly and accurately than K-means. The superior EM-MPM results shown in this study presents a promising future application to the density proportion and potential cancer risk evaluation.
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