A Novel Breast Tissue Density Classification Methodology

It has been shown that the accuracy of mammographic abnormality detection methods is strongly dependent on the breast tissue characteristics, where a dense breast drastically reduces detection sensitivity. In addition, breast tissue density is widely accepted to be an important risk indicator for the development of breast cancer. Here, we describe the development of an automatic breast tissue classification methodology, which can be summarized in a number of distinct steps: 1) the segmentation of the breast area into fatty versus dense mammographic tissue; 2) the extraction of morphological and texture features from the segmented breast areas; and 3) the use of a Bayesian combination of a number of classifiers. The evaluation, based on a large number of cases from two different mammographic data sets, shows a strong correlation ( and 0.67 for the two data sets) between automatic and expert-based Breast Imaging Reporting and Data System mammographic density assessment

A novel method for automated classification of epileptiform activity in the human electroencephalogram-based on independent component analysis.

Diagnosis of several neurological disorders is based on the detection of typical pathological patterns in the electroencephalogram (EEG). This is a time-consuming task requiring significant training and experience. Automatic detection of these EEG patterns would greatly assist in quantitative analysis and interpretation. We present a method, which allows automatic detection of epileptiform events and discrimination of them from eye blinks, and is based on features derived using a novel application of independent component analysis. The algorithm was trained and cross validated using seven EEGs with epileptiform activity. For epileptiform events with compensation for eyeblinks, the sensitivity was 65 +/- 22% at a specificity of 86 +/- 7% (mean +/- SD). With feature extraction by PCA or classification of raw data, specificity reduced to 76 and 74%, respectively, for the same sensitivity. On exactly the same data, the commercially available software Reveal had a maximum sensitivity of 30% and concurrent specificity of 77%. Our algorithm performed well at detecting epileptiform events in this preliminary test and offers a flexible tool that is intended to be generalized to the simultaneous classification of many waveforms in the EEG.

Les champignons : essai de classification / par le Dr Paul Vuillemin,...

Collection : Bibliothèque de botanique cryptogamique

Object and Scene Classification: what does a Supervised Approach Provide us?

Given a set of images of scenes containing different object categories (e.g. grass, roads) our objective is to discover these objects in each image, and to use this object occurrences to perform a scene classification (e.g. beach scene, mountain scene). We achieve this by using a supervised learning algorithm able to learn with few images to facilitate the user task. We use a probabilistic model to recognise the objects and further we classify the scene based on their object occurrences. Experimental results are shown and evaluated to prove the validity of our proposal. Object recognition performance is compared to the approaches of He et al. (2004) and Marti et al. (2001) using their own datasets. Furthermore an unsupervised method is implemented in order to evaluate the advantages and disadvantages of our supervised classification approach versus an unsupervised one

Phylogeny of shrews (Soricidae) : taxonomic and biogeographic implications

Résumé Les Soricidae sont l'une des plus grandes familles de mammifères avec plus de 300 espèces décrites. Elle a été récemment divisée en trois sous-familles, les Soricidae, qui sont distribuées dans la région Holarctique, les Crocidurinae en Afrique et en Eurasie, et les Myosoricinae en Afrique. La diversité spécifique de cette famille a conduit à des interprétations taxonomiques multiples, qui sont à l'origine de polémiques entre spécialistes, et même les premiers résultats moléculaires ont été fortement contradictoires. Le but de cette thèse est donc d'appliquer des meilleures techniques sur des échantillons mieux ciblés, afin de résoudre les contradictions taxonomiques et comprendre l'histoire de cette famille. Par le biais de marqueurs génétiques mitochondriaux et nucléaires, j'ai étudié: (i) Les relations taxonomiques à différent niveaux hiérarchiques au sein des Soricidae, c'est-à dire, entre les sous-familles, tribus, et genres, ainsi qu'au sein de deux complexes d'espèces largement distribués, et d'une espèce européenne, le but étant d'établir la congruence entre les données génétiques et les interprétations morphologiques classiques. (ii) Les relations biogéographiques, soit l'origine potentielle des différentes sous-familles, tribus, et genres, le nombre d'échanges intercontinentaux, ainsi que la structure phylogéographique à un niveau (péri)-spécifique, afin d'établir l'histoire de la diversification de cette famille. Les analyses combinées d'ADN mitochondrial et nucléaire ont montré un rapport clair entre les taxa à un niveau taxonomique élevé, mettant en évidence les rapports entre les sous-familles, les tribus, et les genres. Bien que Myosorex constitue un groupe monophylétique distinct, sa définition en tant que sous-famille séparée ne peut pas être reconnue. Ainsi, nous proposons d'attribuer un niveau de tribu pour ce clade (inclus dans les Crocidurinae). Nous avons également montré l'inclusion du genre Anourosorex dans les Soricinae et non en position basale dans les Soricidae. Au sein des Crocidurinae, Suncus s'est révélé être paraphylétique, et le genre Diplomesodon devrait être considéré d'un point de vue génétique comme invalide, puisque il se trouve au sein du clade du genre Crocidura. À un niveau taxonomique plus bas, nous avons montré la monophylie de deux complexes d'espèces largement distribués, le groupe de C. suaveolens et de C. olivieri. Néanmoins à l'intérieur de ceux-ci, des différences majeures avec la classification morphologique se sont révélées. Par exemples, C. sibirica n'est pas une espèce valide, les analyses de phylogénie moléculaire ne montrant pas de variations génétiques entre celle-ci et un échantillon de la localité type de C. suaveolens. D'un point de vue biogéographique, les fluctuations climatiques et les activités tectoniques des 20 derniers millions d'années ont fortement influencé la diversité actuelle des Soricidae. À un niveau taxonomique élevé, l'apparition de connexions de terre temporaires entre le Vieux et le Nouveau Monde au Miocène moyen ont mené à plusieurs colonisations indépendantes de l'Amérique par les Soricinae. Celles-ci ónt conduit à une diversification d'une tribu (Notiosoricini), ainsi que de genres (par ex: Cryptotis, Blarina) et d'un sous-genre (Otisorex) endémique au Néarctique. Dans le Vieux Monde, les barrières entre l'Afrique et Eurasie étaient plus perméables, menant à plusieurs échanges bidirectionnels de Crocidurinae. La diversification des clades principaux s'est produite au Miocène, certains clades étant endémiques d'Afrique ou d'Eurasie, tandis que d'autres se sont diversifiés à travers le Vieux Monde. À un niveau spécifique ou péri-spécifique, la fluctuation climatique du Pliocène et les glaciations du Pléistocène ont fortement divisé les populations dans tout le Paléarctique, menant à des entités génétiques distinctes. En Europe, les populations du groupe de C. suaveolens ont été divisées en une lignée Sud-Ouest et une Sud-Est, alors qu'au Proche-Orient et au Moyen-Orient, la diversité de clades est plus importante. En conclusion, mes études ont révélé que du Miocène à nos jours, la diversification des Soricidae a été provoquée par la colonisation de nouveaux habitats (dispersion), ainsi que par l'isolement des populations par diverses barrières (vicariance). Abstract The Soricidae is one of the largest mammalian families with more than 300 species described. It has been recently divided into three subfamilies, the Soricinae, which are distributed in the Holartic region, the Crocidurinae in Africa and Eurasia, and the Myosoricinae in Africa. The specific diversity of this family have led to multiple systematic interpretations and controversies between authors. Fortunately, today, cytotaxonomic, allozymic and molecular studies have permitted to clarify some uncertainties. Nevertheless, the Soricidae remains still poorly known. In this thesis, we aim at understanding with the use of mitochondrial and nuclear markers: (i) the taxonomic relationships at different hierarchical levels within Soricidae, i.e., between the subfamilies, tribes, and genera, as well as within two largely distributed species complexes, and within a European species, the goal being to establish congruence between the genetic data and traditional morphological interpretations; (ii) the biogeographic relationships, especially the potential origin of the different subfamilies, tribes, and genera, the number of transcontinental exchanges, as well as the phylogeographic structure at a (peri)-specific level, in order to establish the history of the genetic diversification of this family. The combined analyses of mitochondrial and nuclear DNA highlight for the first time a clear relationship between taxa at a high taxonomical level, permitting to distinguish the relationships between subfamilies, tribes, and genera. Although Myosorex formed a distinct monophyletic group, its definition as a distinct sub-family cannot be advocated. Thus, we propose to attribute a tribe level for this Glade (included within the Crocidurinae). Additionally, this combination of genes pleads in favour of the inclusion of the genus Anourosorex within the Soricinae and not in a basal position within the Soricidae. Within the Crocidurinae, Suncus appeared to be paraphyletic, and Diplomesodon should be considered from a genetic point of view as invalid, and is presently considered as Crocidura. At a lower taxonomic level, we showed the monophyly of two widely distributed species complexes, the C. suaveolens group and the C. olivieri group. Nevertheless within those, we showed major differences compared to morphological classification. For examples, C. sibirica revealed to not be a valid species, the molecular phylogenetic analyses failed to evidence genetical variations between it and samples of the type locality of C. suaveolens. In a biogeographic point of view, the climatic fluctuations and the tectonic plate activities of the last 20 Myr have strongly influenced the actual diversity of the family. At a high taxonomic level, the successive land bridge connections between the Old and the New World, which occurred during the Middle Miocene, have led to several independent colonisations of America by Soricinae, and a subsequent diversification of endemic Nearctic's tribe (Notiosoricini), genera (e.g. Cryptotis, Blaring) and sub-genus (Otisorex) within the Soricinae. Within the Old World, the barriers between Africa and Eurasia were more permeable, leading to several bidirectional exchanges within the Crocidurinae. The diversification of major clades occurred through the Miocene, some clades being endemic to Africa or Eurasia, whereas others diversified through the Old World. At a species level or a peri-specific level, the Pliocene climatic fluctuation and the Pleistocene glaciations have strongly divided the populations throughout the Palaearctic, leading to well defined genetic entities. In Europe, populations of the C. suaveolens group were split in a classical south-western and south-eastern lineage. In contrast, the Near East and the Middle East reveal many differentiated clades. In conclusion, our studies revealed that, from the Miocene to present, the diversification and speciation events within the Soricidae were caused by natural colonisation of new habitats (dispersion) and isolation of populations by various barriers (vicariance).

Le devenir féminin transgenre : une étude qualitative et réflexive sur le genre, la corporéité et la subjectivité sexuelle

RésuméCette thèse en psychologie qualitative et critique de la santé propose un éclairage, sur la subjectivité transgenre, différent des modèles dominants en clinique. Les nosologies de type DSM et de la psychiatrie dominante focalisent sur la seule question de la transition transsexuelle, elles utilisent la sexualité comme outil dans les diagnostics différentiels permettant d'effectuer le gatekeeping de la transition médicalisée du genre. Elles sont décrites comme un dispositif de médicalisation du genre, induisant des pratiques maltraitantes. Une méthodologie qualitative inspirée de la théorie ancrée ainsi que de l'analyse réflexive est utilisée. Un échantillon de 15 personnes représentant la diversité des personnes transgenres FtM a été recruté. Les données provenant d'entrevues non directives sont analysées dans une perspective verticale et horizontale. Les résultats soulignent l'inadéquation des typologies cliniques, de la place qui est donnée à la sexualité dans les procédures diagnostiques et de l'opposition qu'elles construisent entre identité (de genre) et sexualité. Ils plaident pour une vision deleuzienne de type nomade, incarnée et sexuée de la subjectivité transgenre.AbstractThe broad of this study in critical health psychology is to build an understanding of transgender subjectivity which contrast with dominant clinical models. DSM nosology types and dominant psychiatry have traditionally focused only on transsexual transitioning. They use sexuality as a diagnostic tool to address the gatekeeping of the medical transition. These practices have been described as medicalization of gender, inducing mistreatment. A qualitative methodology mixing grounded theory and reflexivity has been used. A sample of 15 persons has been recruited to represent transgender FtM diversity. Data were collected through in-depth interview and analysed case by case and by themes. Results show that dominant clinical typologies of TG are inappropriate, as well as the way sexuality is used in this practices and the opposition between (gender) identity and sexuality. We propose a deleuzian concept of becoming and multiplicity to understand transgender subjectivity.

Multi-scale label interaction to improve object detection and segmentation

The project aims at advancing the state of the art in the use of context information for classification of image and video data. The use of context in the classification of images has been showed of great importance to improve the performance of actual object recognition systems. In our project we proposed the concept of Multi-scale Feature Labels as a general and compact method to exploit the local and global context. The feature extraction from the discriminative probability or classification confidence label field is of great novelty. Moreover the use of a multi-scale representation of the feature labels lead to a compact and efficient description of the context. The goal of the project has been also to provide a general-purpose method and prove its suitability in different image/video analysis problem. The two-year project generated 5 journal publications (plus 2 under submission), 10 conference publications (plus 2 under submission) and one patent (plus 1 pending). Of these publications, a relevant number make use of the main result of this project to improve the results in detection and/or segmentation of objects.