Made available in DSpace on 2014-12-17T15:08:35Z (GMT). No. of bitstreams: 1 MariaGCF_DISSERT.pdf: 1563382 bytes, checksum: 9e5bcfc73a3483582639c492a9c53f64 (MD5) Previous issue date: 2014-03-11 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior / In this work, from the case of Mr. Lunga, a character of the brazilian northeastern culture whose stories circulated orally until they turned into verses of cordel (regional literature illustrated by xylographic printing images), we intend to understand that gender of leaflet, as significant cultural product, like media, with specific language features that act as means of construction and transmission of realities. To understand this phenomenon of meaning production in the cordel media, we used hermeneutics as a method and applied the general theory of interpretation in six chosen leaflets. We worked with a constructivist perspective that grounds the discussion of everyday reality and fiction, concepts that are raised around the essence of the character that is real, but it is also part of the creative activities of poets, how both are interrelated and constitute the understanding that individuals have the real. From the analyzes, we realize that each poet presents the fields of significance of Mr. Lunga in a different way, based on subjectivity, intention and mediations between each of them and the discourses they produce. Each cordelist contributes in his own way of significance for the construction of the imaginary Mr. Lunga. The speech of the cordelists contains a number of elements that aim to legitimize as truth the actions described. In this confrontation, our goal in this work is to understand the construction of the fields of signification, where these discourses are located, the production of meaning around a character who is not in a finite field, but transits through many of them, making the boundaries between reality and fiction dynamic / Neste trabalho pretendemos, a partir do caso de Seu Lunga, um personagem da cultura nordestina, cujas hist?rias circularam oralmente at? virarem versos de cordel, compreender o folheto, produto cultural t?o significativo, como m?dia, com caracter?sticas de linguagem espec?ficas, que atuam como formas de constru??o e transmiss?o de realidades. Para compreender este fen?meno de produ??o de sentidos na m?dia cordel, utilizamos a hermen?utica como m?todo e aplicamos a teoria geral da interpreta??o aos seis folhetos escolhidos. Trabalhamos com uma perspectiva construtivista, que nos embasa na discuss?o sobre realidade cotidiana e fic??o, conceitos que s?o levantados em torno da ess?ncia do personagem que ? real, mas que ? tamb?m parte das atividades criativas dos poetas, como ambos est?o interligados e constituem a compreens?o que os indiv?duos t?m do real. A partir das an?lises realizadas, percebemos que cada poeta apresenta os campos de significa??o de Seu Lunga de uma forma diferenciada, partindo da subjetividade, da intencionalidade e das media??es existentes entre cada um deles e os discursos que produzem. Cada cordelista contribui a seu modo de significa??o para a constru??o do imagin?rio em torno de Seu Lunga. O discurso dos cordelistas cont?m uma s?rie de elementos que buscam legitimar como verdade as a??es descritas. Neste embate, nosso objetivo neste trabalho ? o de compreender a constru??o dos campos de significa??o, onde esses discursos se localizam, a produ??o de sentidos em torno de um personagem que n?o est? em um campo finito, mas que transita por diversos deles, tornando din?micos os limites entre realidade e fic??o

Diss. (sammanfattning) Stockholm : Karol. inst., 2006. / Härtill 5 uppsatser.

Diss. (sammanfattning) Stockholm : Karol. inst., 2005. / Härtill 5 uppsatser.

The initial stage of a lung examination involves the segmentation of a CT image, a process that has been put under a lot of pressure with the high demand for chest scans and accurate segmentations. Current automatic segmentation algorithms are either non-robust for different datasets, not easily accessible, or time-consuming. Furthermore, classification of lung diseases such as IPF and NSIP is a difficult task often requiring decision-making between pathologists, radiologists and clinicians to make an accurate prognosis.  Therefore, this thesis aims to create two algorithms easily accessible through a common medical software, 3D Slicer, with simple user interfaces for more efficient lung analysis. The first one is a fully automatic segmentation algorithm with a manual adjustment option. It is robust and developed on a diverse dataset, demonstrating a high accuracy with a median Dice score of0,967. The second one is a lung vessel tree morphometry algorithm which computes various parameters correlated to the vessel tree and its structure, providing insight into morphological changes. It shows great usability but has certain limitations, making it not entirely finished for clinical research but acts as an excellent starting point for a future project. The segmentation algorithm was developed using classical image processing techniques making it comprehensible. The distinctive feature of this algorithm is the entropy map used, enabling an effective way in distinguishing between the fibrotic regions of the lungs with surrounding soft tissue and therefore increasing its applicability on lungs with various diseases. The lung vessel tree morphometry algorithm utilized a segmentation of the lung vessels to organize them into a tree-like structure. The structure was divided into branches where each branch was used to calculate different parameters such as its level within the tree hierarchy, the length of the branch and more. These parameters were displayed and color-coded for further analysis. The obtained result underscores the substantial potential and importance of these developed algorithms for clinical research by providing user-friendly, robust and reliable methods. / Det inledande skedet av en lungundersökning involverar segmenteringen av en CT-bild, en process som har satts under mycket press på grund utav den höga efterfrågan på bröstskanningar och noggrann segmentering. Aktuella automatiska segmenteringsalgoritmer är antingen icke-robusta för olika dataset, ej lättillgängliga eller tidskrävande. Dessutom är klassificering av lungsjukdomar som IPF och NSIP en svår uppgift som ofta kräver beslutsfattande mellan patologer, radiologer och kliniker för att göra en korrekt prognos. Därför syftar denna rapport till att skapa två lättillgängliga algoritmer genom en ofta användmedicinsk programvara, 3D Slicer, bestående utav enkla användargränssnitt för en effektivare analys av lungorna. Den första är en helautomatisk segmenteringsalgoritm med ett manuellt justeringsalternativ. Den är robust och utvecklad på ett mångsidigt dataset som har demonstrerat en hög noggrannhet med en median Dice-score på 0,967. Den andra är en morfometri algoritm för lungkärlsträd som beräknar olika parametrar korrelerade till kärlträdet och dess struktur, vilket ger insikt i morfologiska förändringar. Den visar stor användbarhet men innehåller begränsningar, vilket gör den ej helt färdig för klinisk forskning utan fungerar som en utmärkt utgångspunkt för framtida arbete. Segmenteringsalgoritmen utvecklades med hjälp av klassiska bildbehandlingsmetoder vilket gör den mer lättförstådd. Det utmärkande för denna algoritm är entropikartan som används, vilket möjliggör ett effektivt sätt att skilja mellan de fibrotiska regionerna i lungorna med omgivande mjukdelar, detta gör den mer användbar på lungor med olika sjukdomar. Algoritmen för lungkärlsträdets morfometri använde en segmentering av lungkärlen för att sedanorganiseras i en trädliknande struktur. Strukturen var uppdelad i grenar där varje gren användes för att beräkna olika parametrar såsom dess nivå inom trädhierarkin, grenens längd med mera. Dessutom uppvisades dessa parametrar och färgkodades för vidare analys. Det erhållna resultatet understryker den substantiella potential och betydelse som dessa utvecklade algoritmer kommer att ha i klinisk forskning genom att tillhandahålla användarvänliga, robusta och pålitliga metoder

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