A enquete que fizemos sobre o projeto de transmitir pela Web palestras em tempo real de palestrantes estrangeiros deu os seguintes resultados até agora: de 89 respondentes, 66 declararam que têm interesse e capacidade de entendimento de inglês para assistir a essas palestras (74 %), e o restantes 23 estão interessados também, mas temem não conseguir entender. Ninguém se manifestou contra. Ao contrário, foram bastante numerosas as manifestações de elogio e encorajamento.
Frente ao resultado positivo, resolvemos ir adiante com o projeto, pois a diretoria acredita que essas palestras representarão um valioso recurso para aumentar a diversidade, qualidade, e internacionalidade de nossos eventos educacionais.
Nna segunda feira dia 27 (na semana que vem) transmitiremos, em parceria com a VIII Semana de Informática Biomédica da USP de Ribeirão Preto/SP, duas palestras técnicas em inglês (ainda sem tradução simultânea), conforme descrito abaixo:
12:30 - 14:00 h: Collaborative Active Tools for 3 Way Merging of XML Files. Prof. Dr. Ethan Munson (University of Wisconsin at Milwaukee - USA)
14:00 - 15:30 h: Digital Image Processing Techniques for Detection and Analysis of Diagnostic Features in Fundus Images of the Retina. Prof. Dr. Rangaraj M. Rangayyan (University of Calgary - Canadá).
Todas as palestras no horário de Brasília
Veja as outras palestras que serão transmitidas no mesmo dia:
http://www.informaticabiomedica.com.br/semana/
Se você se interessa em assistir, inscreva-se no máximo até as 17 horas de amanhã, sexta feira, no site acima, não se esquecendo de clicar na opção de assistir a distância.
Qualquer pessoa pode assistir, porém daremos preferência a sócios da SBIS.
Numero de vagas: 50.
As atividades contam 1 ponto por palestra para o Programa de Aperfeiçoamento Profissional da Sociedade Brasileira de Informática em Saúde.
RESUMOS DAS PALESTRAS
Título: Collaborative active tools for 3 way merging of XML files
Palestrante: Prof. Dr. Ethan Munson
Resumo:
XML has become the standard document representation for many popular tools in various domains. When multiple authors collaborate to produce a document, they must be able
to work in parallel and periodically merge their eorts into a single work. While there exist a small number of three-way XML merging tools, their performance could be improved in several areas and they lack any form of user interface for resolving conflicts. In this lecture, we present an implementation of a threeway XML merge algorithm that is faster, uses less memory and is more precise than existing tools. It uses a specialized versioning tree data structure that supports node identity and change detection. The algorithm applies the traditional three-way merge found in GNU di3 to the children of changed nodes. The editing operations it supports are addition, deletion, update, and move. A graphical interface for visualizing and resolving conflicts is also provided. An evaluation experiment was conducted comparing the proposed algorithm with three other tools on randomly generated XML data.
to work in parallel and periodically merge their eorts into a single work. While there exist a small number of three-way XML merging tools, their performance could be improved in several areas and they lack any form of user interface for resolving conflicts. In this lecture, we present an implementation of a threeway XML merge algorithm that is faster, uses less memory and is more precise than existing tools. It uses a specialized versioning tree data structure that supports node identity and change detection. The algorithm applies the traditional three-way merge found in GNU di3 to the children of changed nodes. The editing operations it supports are addition, deletion, update, and move. A graphical interface for visualizing and resolving conflicts is also provided. An evaluation experiment was conducted comparing the proposed algorithm with three other tools on randomly generated XML data.
Título: Digital Image Processing Techniques for Detection and Analysis of Diagnostic Features in Fundus Images of the Retina
Palestrante: Prof. Dr. Rangaraj M. Rangayyan
Resumo:
The structure of the blood vessels in the retina is affected by diabetes, hypertension, arteriosclerosis, retinopathy of prematurity, and other conditions through modifications in shape, width, and tortuosity. Quantitative analysis of the architecture of the vasculature of the retina could assist in monitoring the evolution and stage of pathological processes, their effects on the visual system, and the response to treatment. Computer-aided detection and quantitative analysis of features related to the retinal vascular architecture could assist in consistent, quantitative, and accurate assessment of pathological processes by ophthalmologists. This seminar provides details on digital image processing and pattern recognition techniques for the detection of retinal blood vessels, detection of the optic nerve head, and modeling for quantitative analysis of the temporal arcades. The techniques include methods for edge detection, the Hough transform, Gabor filters, and phase portraits.
Uma iniciativa: Centro Estudantil de Informática B|iomédica USP-Ribeirão Preto
Apoio oficial: Diretoria de Educaçao e Capacitação Profissional da SBIS
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