QualIM®: software para treinamento na interpretação de imagens médicas digitais

OBJETIVO: Foi desenvolvido um software denominado QualIM® - Qualificação de Imagens Médicas para treinamento de profissionais na interpretação de exames digitais de mamografias utilizando ferramentas de manipulação de imagens, em monitores específicos, classificadas em BI-RADS®. MATERIAIS E MÉTODOS: O sistema, desenvolvido em Delphi 7, armazena as respostas da interpretação de imagens mamográficas durante o treinamento e compara aos dados inseridos denominados "padrão-ouro". O sistema contém imagens de computed radiography, direct radiography e digitalizadas. O software converte as imagens do computed radiography e direct radiography para o formato TIFF, mantendo as resoluções espacial e de contraste originais. Profissionais em treinamento manipulam o realce da imagem utilizando ferramentas de software (zoom, inversão, réguas digitais, outras). Dependendo da complexidade, são apresentadas até oito incidências mamográficas, seis imagens de ultra-som e duas de anatomopatológico. RESULTADOS: O treinamento iniciou em 2007 e atualmente faz parte do programa de residência em radiologia. O software compõe o texto, de forma automática, das informações inseridas pelo profissional, baseado nas categorias BI-RADS, e compara com a base de dados. CONCLUSÃO: O software QualIM é uma ferramenta digital de ensino que auxilia profissionais no reconhecimento de padrões visuais de uma imagem mamográfica, bem como na interpretação de exames mamográficos, utilizando a classificação BI-RADS.

A Dependency Parsing Approach to Biomedical Text Mining

Biomedical research is currently facing a new type of challenge: an excess of information, both in terms of raw data from experiments and in the number of scientific publications describing their results. Mirroring the focus on data mining techniques to address the issues of structured data, there has recently been great interest in the development and application of text mining techniques to make more effective use of the knowledge contained in biomedical scientific publications, accessible only in the form of natural human language. This thesis describes research done in the broader scope of projects aiming to develop methods, tools and techniques for text mining tasks in general and for the biomedical domain in particular. The work described here involves more specifically the goal of extracting information from statements concerning relations of biomedical entities, such as protein-protein interactions. The approach taken is one using full parsing—syntactic analysis of the entire structure of sentences—and machine learning, aiming to develop reliable methods that can further be generalized to apply also to other domains. The five papers at the core of this thesis describe research on a number of distinct but related topics in text mining. In the first of these studies, we assessed the applicability of two popular general English parsers to biomedical text mining and, finding their performance limited, identified several specific challenges to accurate parsing of domain text. In a follow-up study focusing on parsing issues related to specialized domain terminology, we evaluated three lexical adaptation methods. We found that the accurate resolution of unknown words can considerably improve parsing performance and introduced a domain-adapted parser that reduced the error rate of theoriginal by 10% while also roughly halving parsing time. To establish the relative merits of parsers that differ in the applied formalisms and the representation given to their syntactic analyses, we have also developed evaluation methodology, considering different approaches to establishing comparable dependency-based evaluation results. We introduced a methodology for creating highly accurate conversions between different parse representations, demonstrating the feasibility of unification of idiverse syntactic schemes under a shared, application-oriented representation. In addition to allowing formalism-neutral evaluation, we argue that such unification can also increase the value of parsers for domain text mining. As a further step in this direction, we analysed the characteristics of publicly available biomedical corpora annotated for protein-protein interactions and created tools for converting them into a shared form, thus contributing also to the unification of text mining resources. The introduced unified corpora allowed us to perform a task-oriented comparative evaluation of biomedical text mining corpora. This evaluation established clear limits on the comparability of results for text mining methods evaluated on different resources, prompting further efforts toward standardization. To support this and other research, we have also designed and annotated BioInfer, the first domain corpus of its size combining annotation of syntax and biomedical entities with a detailed annotation of their relationships. The corpus represents a major design and development effort of the research group, with manual annotation that identifies over 6000 entities, 2500 relationships and 28,000 syntactic dependencies in 1100 sentences. In addition to combining these key annotations for a single set of sentences, BioInfer was also the first domain resource to introduce a representation of entity relations that is supported by ontologies and able to capture complex, structured relationships. Part I of this thesis presents a summary of this research in the broader context of a text mining system, and Part II contains reprints of the five included publications.

Maturidade óssea: estimação por simplificações do método de Eklof e Ringertz

OBJETIVO: Apresentar um processo para estimação da idade óssea utilizando simplificações do método de Eklof e Ringertz, que operam de forma automática, proporcionando laudos que auxiliam o diagnóstico médico. MATERIAIS E MÉTODOS: Foram utilizadas imagens carpais de crianças e adolescentes na faixa etária de 6 a 16 anos para a estimação da idade óssea, baseando-se nas simplificações ER5 e ER3 - análise de 5 e 3 centros de ossificação, respectivamente. A automatização dos métodos simplificados explora procedimentos específicos para o processamento de imagens radiográficas da mão. RESULTADOS: Os resultados alcançaram elevada concordância com a média dos laudos médicos obtidos com os três métodos clássicos (Greulich e Pyle, Tanner e Whitehouse, Eklof e Ringertz). A análise de concordância das simplificações propostas foi realizada utilizando-se o teste t de Student pareado com faixa de significância de 5%, e na maioria dos casos não ocorreram diferenças estatisticamente significantes (p < 0,05). CONCLUSÃO: Analisando-se os resultados, conclui-se que é possível estimar com segurança a idade óssea utilizando simplificações do método de Eklof e Ringertz de forma rápida e automatizada. As simplificações propostas também são apropriadas para estimação da idade óssea em grandes bases de dados e livre da subjetividade presente nos métodos clássicos.

Disseny i implementació d'un programari d'adquisició de dades de la producció d'una línia automàtica de palets

This thesis presents a software that allows data acquisition production process, in this case, an automatic pallet nailing line. The recording of these data will enable them to make a track and analyze them later, either with the analytical tools of the application or by the transfer of such data to an Excel sheet or database. The programming language has been developed made by Ladder for the application in the PLC that controls the line of nailing. Control pages for the HMI application that monitors the process. Finally, the Visual Basic language for the production department computer application. To extract production variables from the process, the developed software communicates with the network formed by the PLC and the HMI terminal which stores and control the process using the Modbus TCP/IP protocol.

La veu dels infants

Aquest treball pretén donar a conèixer els principis bàsics de la pedagogia de Reggio Emilia (Itàlia), amb la seva idea d'infant capaç, "intel·ligent" i biològicament predisposat a comunicar, a viure en relació; la idea d'un mestre amb interès, curiositat i disposat a escoltar, observar, documentar, interpretar, reflexionar i confrontar per poder oferir als infants contextos i experiències riques i adequades a cada un d'ells, on es puguin expressar a través de tots els llenguatges possibles. També es mostra com s'han realitzat els dos principals objectius pràctics del treball. Per una banda, l'observació de com es du a terme l'escolta, l'observació, la documentació i la seva interpretació i reflexió a les escoles de Castelnovo di Sotto (Reggio Emilia). I per altra banda, l'elaboració de dues documentacions, una referent a la vida escolar i una referent a la vida personal a Itàlia.

Construction of an index of information from clinical practice in Radiology and Imaging Diagnosis based on text mining and thesaurus

Objective To construct a Portuguese language index of information on the practice of diagnostic radiology in order to improve the standardization of the medical language and terminology. Materials and Methods A total of 61,461 definitive reports were collected from the database of the Radiology Information System at Hospital das Clínicas – Faculdade de Medicina de Ribeirão Preto (RIS/HCFMRP) as follows: 30,000 chest x-ray reports; 27,000 mammography reports; and 4,461 thyroid ultrasonography reports. The text mining technique was applied for the selection of terms, and the ANSI/NISO Z39.19-2005 standard was utilized to construct the index based on a thesaurus structure. The system was created in *html. Results The text mining resulted in a set of 358,236 (n = 100%) words. Out of this total, 76,347 (n = 21%) terms were selected to form the index. Such terms refer to anatomical pathology description, imaging techniques, equipment, type of study and some other composite terms. The index system was developed with 78,538 *html web pages. Conclusion The utilization of text mining on a radiological reports database has allowed the construction of a lexical system in Portuguese language consistent with the clinical practice in Radiology.

Text i context. El concurs de cinema amateur «JULIUS» (1987-1996)

El «Julius» és un concurs de cinema amateur que fonamenta la seva singularitat en el fet de partir d’un text literari prefixat del qual els participants han de fer una adaptació audiovisual. En aquest article s’estudia la primera època del concurs: el seu origen, les diverses edicions en què es dugué a terme, les incidències que s’hi produïren..., i el context social i cultural que va contribuir a fer-ne un concurs amb unes característiques úniques que es concretaren en l’anomenat «esperit Julius», sorneguer, llibertari i surrealista.

Jane Eyre: del text a la pantalla : Un estudi comparatiu entre l'obra de Charlotte Brontë i l'adaptació cinematogràfica de Cary Fukunaga

Treball de fi de màster que estudia comparativament les relacions entre la novel·la "Jane Eyre" de Charlotte Brontë i l'adaptació cinematogràfica de la mateixa realitzada pel director Cary Fukunaga.